AccessFintech — Post-Trade Data Collaboration Network and Synergy Platform Guide
AccessFintech is a financial technology company that operates a shared data and workflow collaboration network for global capital markets participants. Its flagship platform, Synergy, connects over 250 financial institutions — including asset managers, hedge funds, broker-dealers, custodians, and market infrastructure providers — across a cloud-native, API-first infrastructure purpose-built for post-trade operations.
This page provides a structured, fact-based breakdown of AccessFintech’s platform architecture, full product suite, asset class coverage, regulatory compliance capabilities, partner integrations, and network performance benchmarks. It is designed as a reference resource for capital markets professionals, technology evaluators, operations leaders, and compliance teams conducting due diligence on post-trade data management solutions.
Content is organized across the following topics:
- Platform architecture and technical infrastructure
- Full Synergy product suite across Securities, Derivatives, and Alternatives
- Regulatory coverage including CSDR and T+1 settlement
- Confirmed partner and system integrations
- Network participant categories and use cases
- Funding history, investors, and company background
- Competitive landscape and platform differentiators
- Frequently asked questions
What Is AccessFintech?
Company Overview
AccessFintech is a New York-headquartered financial technology company that operates a multi-party data and workflow collaboration network for global capital markets. The company’s core infrastructure — the Synergy Network — enables financial institutions to share transactional data, automate post-trade workflows, and resolve exceptions across counterparties in real time, without replacing existing systems or compromising proprietary data control.
The platform serves the full capital markets ecosystem, connecting buy-side firms, sell-side institutions, custodians, asset servicers, and technology providers under a single governed data layer. AccessFintech operates across three primary asset class networks — Securities, Derivatives, and Alternatives — with data management and technology enablement capabilities extending to firms seeking standalone data infrastructure outside of the network.
Company Profile — Key Facts
| Attribute | Detail |
|---|---|
| Company Name | AccessFintech |
| Platform Name | Synergy |
| Founded | 2016 |
| Headquarters | New York, USA |
| Additional Offices | London, Tel Aviv |
| Co-Founders | Roy Saadon, Steve Fazio |
| Current CEO | Sarah Shenton |
| Employee Count | 51–200 |
| Network Members | 250+ active institutions |
| Total Capital Raised | $97M+ (as of Series C, with additional BlackRock strategic investment) |
| Latest Funding Round | Series C — $60M, led by WestCap |
| Strategic Investors | BlackRock, BNY Mellon, Bank of America, Goldman Sachs, J.P. Morgan, Citi, BNP Paribas, Dawn Capital |
| Platform Architecture | Cloud-native, API-first, microservices-based |
| Cloud Infrastructure | AWS (High Availability Zones) |
| Primary Market | Global capital markets — post-trade operations |
The Problem AccessFintech Was Built to Solve
Post-trade operations in global capital markets are structurally fragmented. Each institution in a transaction chain — asset managers, broker-dealers, custodians, clearing agents — maintains its own data environment, its own systems, and its own view of a trade’s lifecycle. When discrepancies arise between counterparties, resolution depends on manual processes: email chains, phone calls, and bilateral reconciliation across disconnected systems. This fragmentation generates direct financial exposure at scale.
AccessFintech was founded to address the following specific, documented operational failures in post-trade markets:
- Data silos across counterparties: Each institution operates its own data model with no standardized shared view of a trade’s status, creating systemic reconciliation inefficiency across the entire settlement chain
- Manual exception resolution: Industry data indicates 5% of all trade exceptions still require manual intervention, representing significant operational cost and settlement risk even as settlement cycles accelerate
- Settlement fails and penalty exposure: Unresolved trade breaks generate settlement fails, triggering financial penalties under regulatory frameworks such as CSDR (Central Securities Depositories Regulation) in Europe and creating balance sheet drag
- T+1 settlement pressure: The compression of settlement cycles — from T+2 to T+1 in the US in 2024, with the UK and EU signalling a potential move to T+1 as early as 2027 — reduces the available window for manual exception resolution, making automated real-time collaboration operationally critical
- Legacy system fragmentation: Financial institutions rely on multiple legacy systems across their trade lifecycle, none of which natively communicate with counterparty systems, requiring expensive and time-consuming bilateral integrations that can take months or years per connection
- Lack of cross-institutional visibility: Operations teams lack real-time visibility into where a trade stands across counterparty systems, custodians, and agents simultaneously, delaying prioritization and escalation of high-risk exceptions
- Regulatory complexity: Evolving regulatory frameworks — CSDR, EMIR, T+1, IBOR transition — require institutions to access, normalize, and report data that is currently distributed across disconnected internal and external systems
- High cost of exception management: The operational overhead of managing exceptions manually — staffing, systems, reconciliation infrastructure — constitutes one of the largest and most persistent cost centers in post-trade operations
Industry Pain Point Summary — Data Table
| Pain Point | Operational Impact | AccessFintech Response |
|---|---|---|
| Counterparty data silos | No shared real-time view of trade status | Shared governed data layer across all participants |
| Manual exception resolution | 5% of exceptions require manual intervention | AI-driven exception detection and automated workflow |
| Settlement fails | Financial penalties, balance sheet drag | Pre-matching insights, fail prediction, structured resolution |
| T+1 settlement acceleration | Shorter window for manual fixes | Real-time data capture from T+0 across counterparties |
| Legacy system fragmentation | Years-long bilateral integration projects | API-first ingestion in weeks, no system replacement |
| Cross-institutional opacity | Delayed prioritization of high-risk trades | Unified transaction status across buy-side, sell-side, custodians |
| CSDR penalty exposure | Eligibility data gaps, calculation errors | SIX partnership for eligibility data, penalty management module |
| Regulatory reporting complexity | Fragmented data, manual aggregation | Data normalization, enrichment, and structured reporting pipelines |
How AccessFintech Positions in the Capital Markets Ecosystem
AccessFintech does not function as a replacement for existing post-trade systems, clearing infrastructure, or custodian platforms. It operates as a network layer — a governed data and workflow intermediary that sits between existing institutional systems, enabling them to communicate, share data, and collaborate on exception resolution without requiring direct bilateral integration or system replacement.
This positioning makes AccessFintech complementary to — and in several cases formally integrated with — established market infrastructure providers including Broadridge, DTCC, SimCorp, S&P Global, and BlackRock’s Aladdin platform.
Ecosystem Participant Table — Role on the Synergy Network
| Participant Type | Specific Institution Categories | Primary Use Case on Synergy |
|---|---|---|
| Buy-Side | Asset managers, hedge funds | Settlement visibility, exception resolution, regulatory compliance, derivatives lifecycle management |
| Sell-Side | Broker-dealers, prime brokers, executing brokers | Settlement fail compression, penalty management, multi-party workflow, client servicing |
| Custodians and Asset Servicers | Global custodians, securities services firms, outsourced middle office | Real-time trade status, custodian synchronization, asset servicing, claims management |
| Market Infrastructure | CSDs, clearing agencies, depositories, exchanges | Data flow facilitation, downstream processing, eligibility data, clearing connectivity |
| Technology and OMS Providers | OMS platforms, fintech vendors, data providers | Network integration, data distribution, vendor connectivity via API |
| Consulting Partners | Global management consulting firms | Implementation, change management, regulatory compliance programmes |
Network Positioning — AccessFintech vs. Infrastructure Layers
| Infrastructure Layer | Examples | AccessFintech Role |
|---|---|---|
| Trading infrastructure | Bloomberg, Tradeweb, MarketAxess | Not a trading platform; connects to post-trade data from these systems |
| Clearing infrastructure | DTCC, LCH, Eurex Clearing | Not a CCP; operates as a collaboration and exception management layer above clearing |
| Custody and settlement | BNY Mellon, State Street, Euroclear | Integration partner; provides shared visibility layer across custodian systems |
| Post-trade technology | Broadridge, SimCorp, Finastra | Integration partner; adds network collaboration to existing post-trade platforms |
| OMS/EMS platforms | Charles River, Aladdin (BlackRock) | Integration partner; extends post-trade workflow connectivity into OMS environments |
The Synergy Network — Platform Architecture and Infrastructure
What Is the Synergy Network?
The Synergy Network is AccessFintech’s core commercial platform — a cloud-native, multi-party data collaboration and workflow automation network purpose-built for post-trade operations in global capital markets. Synergy functions as a shared intelligence layer connecting financial institutions across the full post-trade lifecycle, from trade confirmation and pre-matching through settlement, reconciliation, claims management, and regulatory reporting.
Rather than operating as a standalone post-trade processing system, Synergy aggregates and synthesizes data from participating institutions’ existing source systems, normalizes it into a common data language, and surfaces shared insights and workflow tools that enable cross-institutional collaboration and exception resolution. Institutions retain full control over their proprietary data at all times through a governed entitlements model that determines precisely what each counterparty can access.
The network currently connects over 250 active member institutions and processes more than 1 billion transactions per month, with over 75% of global market trade volume flowing through the platform across its three specialized asset class networks: Securities, Derivatives (Swaps), and Private Markets (Loans).
Synergy Network — Core Platform Attributes
| Attribute | Specification |
|---|---|
| Platform Type | Cloud-native multi-party data and workflow collaboration network |
| Architecture Model | Microservices-based, event-driven, API-first |
| Deployment Model | Cloud-hosted (AWS) — no on-premise installation required |
| Asset Class Coverage | Securities, Derivatives (Swaps), Alternatives (Loans / Private Credit), Payments |
| Active Network Members | 250+ institutions |
| Monthly Transaction Volume | 1B+ transactions per month |
| Daily Transaction Volume | 50M+ daily transactions |
| Daily Events Processed | 2.5B+ events per day |
| Global Market Volume Share | Over 75% of global market trade volume |
| AI Layer | AccessIQ — agentic workflows, anomaly detection, ML-based settlement prediction |
| Integration Approach | Bi-directional API; no system replacement required |
| Data Formats Supported | JSON, XML, CSV, delimited text |
| Identity Management | SSO/SAML via Okta |
| Encryption Model | BYOK (Bring Your Own Key) |
| Data Sharing Layer | Snowflake-native integration |
| Disaster Recovery | High Availability Zones — single AWS region |
Synergy Network — Three Specialized Data Networks
| Network | Asset Class | Primary Function |
|---|---|---|
| Synergy Securities Network | Equities, fixed income, repos, TBAs | Settlement workflow, fail compression, claims, inventory, netting |
| Synergy Derivatives Network | OTC swaps, cleared/uncleared derivatives | Lifecycle management, cashflow automation, payment processing |
| Synergy Private Markets Network | Syndicated loans, private credit | Loan lifecycle, agent oversight, P&I payments, data transparency |
Synergy Platform Architecture — Technical Specifications
The Synergy platform is engineered on a cloud-native, API-first architecture designed specifically for the data complexity, security requirements, and regulatory obligations of highly regulated financial institutions. The architecture is composed of three integrated layers — a Data Vault for ingestion and normalization, a Controlled Bridge for governed inter-institutional data sharing, and Synchronized Data Networks for AI-driven workflow execution and operational intelligence.
Each layer operates as an independent set of microservices, enabling modular deployment, horizontal scaling, and incremental adoption without requiring institutions to replace or decommission existing systems. The platform supports both real-time and asynchronous data workflows, accommodating the operational rhythms of institutions across different time zones, settlement cycles, and regulatory jurisdictions.
Platform Architecture — Technical Component Map
| Architecture Layer | Component | Technology / Specification |
|---|---|---|
| Cloud Infrastructure | Primary cloud provider | Amazon Web Services (AWS) |
| Cloud Infrastructure | Availability model | High Availability Zones — single AWS region |
| Cloud Infrastructure | Disaster recovery | Built-in disaster recovery with HA zone redundancy |
| Data Layer | Data sharing engine | Snowflake-native integration |
| Data Layer | Supported ingestion formats | JSON, XML, CSV, delimited text |
| Data Layer | Ingestion methods | Push and pull — real-time and asynchronous |
| Data Layer | Pipeline model | Scalable microservices-based ETL |
| Identity and Access | Authentication | SSO/SAML — Okta integration |
| Identity and Access | Authorization model | Role-based entitlements management |
| Security | Encryption | BYOK (Bring Your Own Key) |
| Security | Data control | Client retains encryption key ownership at all times |
| Integration | API design | API-first — bi-directional integrations |
| Integration | Integration model | No system replacement; layered on existing infrastructure |
| AI and Intelligence | AI layer name | AccessIQ |
| AI and Intelligence | AI model type | Agentic workflows, ML-based predictive models, vector classification |
| Workflow | Execution model | Event-driven, asynchronous digital distribution |
| Workflow | Insight delivery | AI-generated insights pushed directly into client systems of record |
Platform Design Principles
- No rip-and-replace: Synergy is explicitly designed to layer on top of existing institutional systems, OMS platforms, and legacy infrastructure without requiring decommissioning or migration
- API-first connectivity: All integrations are executed through bi-directional APIs, reducing implementation timelines from the industry-standard months or years to weeks
- Data sovereignty: Institutions publish only what they elect to share; all data access is governed by entitlements that clients configure and control
- Modular adoption: Firms can adopt individual product modules — settlements, derivatives, loans — without requiring full platform deployment
- Counterparty-ready by design: The platform is built for multi-party workflows, not bilateral point-to-point integrations, enabling network effects as additional institutions connect
Data Vault — Ingestion, Normalization, and Storage
The Data Vault is the foundational infrastructure layer of the Synergy platform. Its primary function is to receive fragmented, heterogeneous data from participating institutions’ source systems — in whatever format those systems natively produce — and transform that data into a standardized, interoperable common language that enables consistent comparison, matching, and workflow execution across counterparties.
This normalization function is operationally significant because financial institutions across the buy-side, sell-side, and custody chain maintain fundamentally different data models, field definitions, and system architectures. Without a translation layer, cross-institutional data comparison requires custom bilateral integration for every counterparty pair — a model that is both cost-prohibitive and operationally fragile at scale. The Data Vault eliminates this constraint by applying standardized schemas universally across all participating institutions and asset classes.
Data Vault — Ingestion Capabilities
- Accepts any structured data format without manual reformatting — JSON, XML, CSV, and delimited text are all natively supported
- Supports both push and pull ingestion methods, accommodating real-time streaming and scheduled batch workflows simultaneously
- Automates data aggregation, enrichment, and distribution through a scalable microservices-based ETL pipeline
- Ingests data directly from client source systems via bi-directional API, removing dependency on manual file extractions or email-based data transfer
Data Vault — Normalization and Data Definition Capabilities
- Applies standardized field definitions and data schemas universally across every supported asset class and workflow type
- Automatically maps client-specific data structures to global schemas — no manual translation or custom field mapping required per institution
- Resolves entities accurately across disparate counterparty systems, ensuring clean data correlation across the full operation regardless of how different systems reference the same instrument, trade, or counterparty
- Configures workflows and business logic at the entity level, so normalized data drives automated action rather than passive storage
- Detects data discrepancies and exceptions that would otherwise create unnecessary funding requirements or settlement delays if left unresolved
Data Vault — Cloud Infrastructure and Storage Capabilities
- Manages centralized access control with full audit-readiness through single sign-on via SSO/SAML (Okta integration)
- Maintains client data sovereignty at all times through BYOK (Bring Your Own Key) encryption — clients hold and manage their own encryption keys
- Leverages Snowflake-native integration to support governed, real-time data sharing across institutional boundaries without exposing underlying raw data
- Ensures platform resilience and operational continuity through built-in disaster recovery with High Availability Zones in a single AWS region
- Generates real-time visibility over transaction status and value-driven insights directly from normalized data, without requiring additional reporting infrastructure
Data Vault — Operational Outcomes
| Capability | Operational Outcome |
|---|---|
| Universal format acceptance | Eliminates data reformatting overhead across counterparty onboarding |
| Automated schema mapping | Removes custom integration build time per counterparty pair |
| Entity resolution across systems | Ensures clean data matching regardless of system-specific reference codes |
| Real-time ingestion | Enables T+0 visibility into trade status from point of execution |
| BYOK encryption | Satisfies institutional data governance and regulatory compliance requirements |
| Snowflake-native sharing | Enables governed cross-institutional analytics without raw data exposure |
Controlled Bridge — Entitlements Management and Data Governance
The Controlled Bridge is the inter-institutional data sharing layer of the Synergy platform. It governs how normalized data from the Data Vault is exchanged between participating institutions — defining precisely what data each counterparty can see, when they can see it, and under what conditions — while ensuring that proprietary operational data is never exposed outside of explicitly authorized parameters.
This governance model is architecturally central to AccessFintech’s network design. In a post-trade environment where institutions are simultaneously counterparties to each other’s transactions and competitors in the broader market, the ability to share trade-level data selectively and securely — without exposing proprietary positions, internal workflows, or strategic data — is a prerequisite for institutional adoption at scale. The Controlled Bridge operationalizes this requirement through a rules-based entitlements management system and an industry-standard data schema framework.
Controlled Bridge — Entitlements Management Capabilities
- Grants and manages data access entitlements at the institution, counterparty, asset class, and trade level — each participant sees only what they are explicitly authorized to access
- Connects institutions via the AccessFintech bridge to exchange clean, interoperable datasets that power critical business transactions across all supported asset classes
- Surfaces non-persistent analytics and insights — enabling collaboration and exception resolution without sharing or storing the underlying raw data that generated those insights
- Maintains full publisher control throughout the trade lifecycle — institutions manage what data they publish, to whom, and at which lifecycle stage, preserving optionality as their counterparty ecosystem evolves
- Supports robust governance frameworks that satisfy the compliance, legal, and operational risk requirements of Tier 1 financial institutions operating in multiple regulatory jurisdictions
Controlled Bridge — Industry-Standard Data Schema Capabilities
- Uses asset class-specific data schemas established collaboratively between AccessFintech and participating institutions — eliminating the need for custom integration work per counterparty connection
- Automatically reconciles transactions across disparate publisher systems using proprietary matching logic applied to the standardized schema
- Enables data interoperability with financial institutions, OMS platforms, custodian systems, and market infrastructure providers through a single governed connection rather than multiple bilateral integrations
- Supports deep vertical integration per lifecycle layer — from trade confirmation through settlement, reconciliation, and regulatory reporting — enabling partner firms to enrich the shared data layer at each stage
Controlled Bridge — Data Governance Framework Summary
| Governance Dimension | Mechanism |
|---|---|
| Access control | Role-based entitlements per institution, counterparty, and asset class |
| Data sovereignty | BYOK encryption; institutions retain key ownership |
| Raw data protection | Non-persistent analytics — insights surfaced without underlying data storage |
| Publication control | Institutions configure and manage what they publish and when |
| Schema standardization | Industry-agreed asset class-specific schemas across all counterparties |
| Audit readiness | Centralized access management with full audit trail via SSO/SAML |
| Regulatory alignment | Governance model designed to satisfy CSDR, T+1, EMIR, and institutional compliance requirements |
Synchronized Data Networks — Operational Intelligence and AccessIQ
Synchronized Data Networks is the execution and intelligence layer of the Synergy platform. It applies asset class-specific workflow logic, embedded AI, and event-driven digital distribution to the normalized, governed data produced by the Data Vault and Controlled Bridge — translating shared data into automated action, predictive insight, and real-time exception resolution across the Synergy membership network.
This layer contains AccessIQ, AccessFintech’s AI and machine learning engine, which applies agentic workflows and predictive models to historical and real-time transaction data to identify anomalies, forecast settlement fails, and surface operational intelligence before exceptions escalate into financial losses. The Synchronized Data Networks layer also manages the digital distribution of AI-generated insights back into clients’ systems of record, closing the loop between external network intelligence and internal institutional workflow.
AccessIQ — AI and Machine Learning Capabilities
- Classifies data into vectors using agentic workflows, enabling a new layer of operational intelligence across post-trade operations that goes beyond static rule-based exception flagging
- Analyzes historical transaction patterns across all asset classes and workflows to identify anomalies, recurring issues, and systemic trends before they generate settlement fails or regulatory exposure
- Forecasts settlement fails at the individual transaction level using machine learning models trained on the institution’s own transaction history, enabling proactive intervention rather than reactive resolution
- Optimizes resource allocation by surfacing which exceptions require immediate human intervention and which can be resolved through automated workflow, reducing manual operational overhead
- Embeds actionable insights directly into current institutional workflows and existing systems of record — operations teams act within familiar tools rather than navigating a separate platform
AccessIQ — Operational Intelligence Functions
| Function | Description |
|---|---|
| Vector classification | Categorizes transaction data into operational intelligence vectors via agentic AI workflows |
| Anomaly detection | Identifies deviations from normal transaction patterns in real time |
| Pattern analysis | Surfaces recurring exception types, counterparty-specific trends, and systemic workflow gaps |
| Settlement fail forecasting | ML-based prediction of which trades are at risk of failing before settlement date |
| Resource optimization | Prioritizes exceptions by risk level and resolution urgency for operations teams |
| Insight distribution | Pushes AI-generated intelligence directly into client systems of record via event-driven layer |
Synchronized Data Networks — Tailored Workflow Capabilities
- Applies lifecycle mapping built specifically for the operational nuances of each asset class — including settlement cycles for securities, SWAP reset cycles for derivatives, and agent notice timelines for loans — ensuring workflows match precisely how each market operates rather than applying a generic framework
- Configures business logic per asset class at deployment, so the platform adapts to institutional operating models rather than requiring institutions to adapt to a standardized platform workflow
- Enables private, cross-institution workflows — structured communication and collaborative decision-making between counterparties within the governed network environment
- Reduces settlement fails, resolves exceptions quickly, and avoids regulatory penalties through real-time structured messaging between counterparties, replacing unstructured email and phone-based resolution channels
Digital Distribution — AI Insight Delivery Capabilities
- Allows institutional systems and services to exchange data asynchronously, reliably, and at scale using the platform’s event-driven communication layer
- Pushes AI-generated insights directly into clients’ systems of record — operations teams receive intelligence within the tools they already use, with no requirement to log into a separate platform to act on exception alerts
- Automates real-time feedback loops between the Synergy platform and client systems, reducing manual intervention at every stage of the post-trade lifecycle
- Distributes normalized, enriched data to downstream systems — including regulatory reporting pipelines, risk management platforms, and reconciliation infrastructure — through a single governed data pipeline
Synchronized Data Networks — Summary of Operational Outcomes
| Capability Layer | Operational Outcome |
|---|---|
| AccessIQ anomaly detection | Exceptions identified before they generate fails or penalties |
| ML settlement fail forecasting | Proactive resolution replaces reactive exception management |
| Asset class-specific workflows | Platform logic matches actual market operating requirements |
| Real-time structured messaging | Unstructured email/phone resolution replaced by auditable workflow |
| Insight push to systems of record | Operations teams act within existing tools; no platform switching required |
| Event-driven digital distribution | Data flows to downstream systems automatically; no manual extraction |
AccessFintech Full Product Suite
The Synergy platform delivers a modular suite of post-trade products organized across three asset class categories: Securities Solutions, Derivatives Solutions, and Alternatives Solutions. Each product module addresses a specific operational function within the post-trade lifecycle — from real-time settlement visibility and netting to derivatives cashflow automation and private credit lifecycle management. Modules are deployable independently or in combination, allowing institutions to adopt Synergy incrementally without committing to full platform deployment at the outset.
All product modules share the same underlying platform infrastructure — the Data Vault, Controlled Bridge, and Synchronized Data Networks layers — meaning data normalized through one module is immediately available across all others without additional integration work. This architecture creates compounding operational value as institutions expand their module adoption across asset classes and lifecycle stages.
Securities Solutions
The Securities Solutions suite addresses the full settlement and asset servicing lifecycle for equities, fixed income, repos, TBAs, and related instruments. It spans seven discrete product modules, each targeting a specific operational function within the securities post-trade chain.
Settlements Management
Settlements Management is the core module of the Securities Solutions suite. It provides real-time, cross-counterparty visibility into trade settlement status from T+0, enabling operations teams to identify, prioritize, and resolve settlement exceptions before they generate fails, penalties, or balance sheet drag.
Settlements Management — Capabilities
- Real-time trade status visibility from T+0 — covering the full settlement lifecycle from trade capture through instruction and settlement confirmation
- Pre-matching exception insights — identifies discrepancies between counterparty data sets before settlement instructions are submitted, enabling proactive resolution within the available settlement window
- Enhanced narratives — structured, data-enriched exception descriptions that replace unstructured email communication between counterparties with auditable, actionable workflow entries
- Instruction-to-allegement pairing — automatically pairs settlement instructions against counterparty allegements to identify mismatches and trigger resolution workflows
- Pair to instruct — enables direct instruction generation from matched data within the platform, reducing manual instruction processing steps
- Pair to repair — automatically identifies failed or mismatched instructions and initiates structured repair workflows between counterparties
- Client servicing — supports custodians and asset servicers in delivering structured, real-time settlement status communication to their buy-side clients
Settlements Management — Operational Outcomes
| Challenge Addressed | Capability Applied | Outcome |
|---|---|---|
| No shared real-time settlement status | T+0 cross-counterparty visibility | Operations teams identify at-risk trades within the settlement window |
| Manual exception communication via email | Enhanced narratives and structured workflow | Auditable, actionable exception records replace unstructured communication |
| Late instruction-to-allegement mismatches | Automated instruction-allegement pairing | Mismatches identified and resolved pre-settlement |
| Manual instruction repair processes | Pair to repair automated workflow | Failed instructions routed to structured repair without manual triage |
| Buy-side settlement opacity | Client servicing module | Custodians deliver real-time status to buy-side clients within existing workflows |
Settlement Netting
Settlement Netting is a module within the Securities Solutions suite that automates and standardizes the netting of settlement obligations across repos, TBAs, cash transactions, and other fixed income instruments. The module was launched in April 2025 with J.P. Morgan and Citi as founding participants and is designed to reduce the gross volume of settlement instructions that institutions must process and fund on any given settlement date, directly improving liquidity utilization and operational efficiency in fixed income markets.
Settlement Netting — Capabilities
- Vendor gateway — connects to third-party settlement and custody systems via standardized API, enabling netting calculations to incorporate data from across an institution’s settlement infrastructure
- Repo pairoffs — identifies and nets offsetting repo settlement obligations between counterparties, reducing gross settlement instruction volume and funding requirements
- TBA pairoffs — automates netting of To-Be-Announced (TBA) mortgage-backed security settlement obligations across counterparty pairs
- Bilateral netting — supports bilateral settlement netting agreements between institutions, calculating net obligations and generating netted settlement instructions automatically
- API dispatch — sends netted settlement instructions directly to custodians via API, eliminating manual instruction submission and reducing custodian synchronization delays
- CCP connect — provides connectivity to central counterparty clearing infrastructure, enabling netting calculations to incorporate cleared and uncleared positions simultaneously
Settlement Netting — Operational Outcomes
| Challenge Addressed | Capability Applied | Outcome |
|---|---|---|
| High gross settlement instruction volume | Bilateral and multilateral netting | Reduced number of individual settlement instructions requiring funding |
| Manual repo and TBA netting processes | Automated repo and TBA pairoffs | Settlement obligation calculation automated across fixed income instruments |
| Custodian synchronization delays | API dispatch to custodians | Netted instructions delivered directly to custodians via API without manual intervention |
| Liquidity inefficiency in fixed income | Net obligation calculation across asset classes | Liquidity requirements optimized by reducing gross funding needs |
| Fragmented cleared and uncleared netting | CCP connect integration | Unified netting view across cleared and uncleared positions |
Inventory Management
Inventory Management provides real-time visibility and control over securities positions across an institution’s full custody and settlement infrastructure, enabling operations teams to identify and act on position discrepancies, depot misalignments, and partial settlement situations in real time.
Inventory Management — Capabilities
- Real-time positions — delivers a continuously updated view of securities positions across all custodians, depositories, and internal systems simultaneously, replacing end-of-day batch position reporting
- Depot re-alignment — identifies position discrepancies between internal books and custodian records and initiates structured re-alignment workflows to bring positions into agreement before settlement deadlines
- Partialling — manages the settlement of partial positions where full delivery cannot be completed on the intended settlement date, supporting structured partial settlement workflows and associated communications with counterparties
Claims Management
The Claims Management module addresses the full lifecycle of income and compensation claims arising from securities transactions — including dividend claims, interest claims, and regulatory penalty management under CSDR, TMPG, and related frameworks. Claims management is one of the highest-volume, most labor-intensive functions in post-trade operations, with claims generation accelerating significantly as settlement volumes increase and regulatory penalty frameworks tighten.
Claims Management — Capabilities
- Dividends — manages the full lifecycle of dividend-related claims arising from settlement fails on equity positions, including claim generation, counterparty notification, and resolution tracking
- Interest — handles interest compensation claims on fixed income positions where settlement fails result in one counterparty holding cash or securities beyond the intended settlement date
- Overdraft — manages overdraft charges arising from settlement fails that require custodian funding, including claim calculation, counterparty communication, and resolution workflow
- CSDR — supports the full CSDR claims and penalty management process, including cash penalty calculation, compensation claims, and eligibility determination in partnership with reference data providers
- TMPG — manages claims under the Treasury Market Practices Group (TMPG) fails charge framework applicable to US Treasury securities settlement
- Manufactured income — handles manufactured income claims arising from securities lending and repo transactions, where coupon or dividend payments must be passed through from the borrower or repo buyer to the original owner
Claims Management — Operational Outcomes
| Claim Type | Manual Process Replaced | Automated Capability Applied |
|---|---|---|
| Dividend claims | Email-based claim notification and bilateral tracking | Automated claim generation, structured counterparty notification, resolution workflow |
| CSDR penalties | Manual eligibility data sourcing and penalty calculation | SIX partnership data feed for eligibility; automated penalty calculation |
| TMPG fails charges | Manual fails charge tracking and billing | Automated fails charge identification and claim lifecycle management |
| Interest claims | Bilateral correspondence and manual calculation | Automated interest calculation and structured claim communication |
| Manufactured income | Manual pass-through tracking across lending/repo books | Automated manufactured income identification and claim lifecycle management |
Asset Servicing, Tax and FX
The Asset Servicing, Tax and FX module provides real-time visibility and workflow automation across corporate actions, income events, tax reclaim processes, and foreign exchange settlement activity — areas of post-trade operations that are structurally complex due to the involvement of multiple parties including issuers, depositories, custodians, and tax authorities.
Asset Servicing, Tax and FX — Capabilities
- Real-time corporate action status — delivers a continuously updated view of corporate action events across an institution’s full securities portfolio, replacing manual event tracking and custodian notification processes
- Real-time income status — provides live visibility into income payment status across dividends, interest, and other income events, enabling operations teams to identify and resolve payment discrepancies before they become claims
- Pairing of trades and events — automatically pairs open trades against upcoming corporate action and income events to identify positions at risk of settlement fails on record dates or payment dates
- Tax reclaim filing — supports the preparation and filing of withholding tax reclaim applications across multiple jurisdictions, using normalized income and position data from the platform to populate reclaim documentation
- Real-time reclaim status — tracks the status of submitted tax reclaim applications across custodians and tax authorities, providing a unified view of outstanding reclaims and their resolution timelines
Securities Lending
The Securities Lending module provides real-time status tracking across the full securities lending lifecycle, covering both the lending trade itself and the associated collateral settlement activity — two operational streams that must be continuously synchronized to manage recall risk, collateral exposure, and regulatory compliance.
Securities Lending — Capabilities
- Real-time status on lending trades and recalls — delivers a continuously updated view of open lending positions, recall notices, and return statuses across all counterparties and custodians simultaneously
- Real-time status on collateral settlement — provides live visibility into collateral delivery and receipt status across all collateral arrangements associated with open lending positions, enabling proactive management of collateral shortfalls and substitution events
Treasury Clearing
The Treasury Clearing module addresses the operational requirements of US Treasury securities clearing, particularly in the context of mandatory clearing rules and the associated pre-clearing efficiency requirements that institutions must meet as Treasury market structure evolves.
Treasury Clearing — Capabilities
- Pre-clearing efficiency — supports institutions in optimizing their Treasury positions and netting obligations prior to submission to central clearing, reducing the gross value of positions that must be cleared and the associated capital requirements
- Custodian synchronization — ensures that Treasury positions held across multiple custodians are synchronized and reconciled before clearing submission, eliminating discrepancies that could cause clearing failures or position breaks
- API access model — provides flexible API-based connectivity to clearing infrastructure, custodian systems, and internal risk management platforms, supporting a range of operating models and clearing access structures
Securities Solutions — Full Module Summary
| Module | Primary Function | Key Operational Outcome |
|---|---|---|
| Settlements Management | Real-time settlement visibility and exception resolution | Settlement fails reduced; manual communication replaced by structured workflow |
| Settlement Netting | Automated netting of fixed income settlement obligations | Gross settlement instruction volume and funding requirements reduced |
| Inventory Management | Real-time position visibility and depot re-alignment | Position discrepancies identified and resolved before settlement deadlines |
| Claims Management | Full claims lifecycle — dividends, interest, CSDR, TMPG, manufactured income | Manual claim processing replaced by automated generation, tracking, and resolution |
| Asset Servicing, Tax and FX | Corporate actions, income, tax reclaims, FX settlement | Event-driven visibility and automated workflows across asset servicing lifecycle |
| Securities Lending | Lending trade and collateral settlement status | Real-time recall and collateral management across all counterparties |
| Treasury Clearing | Pre-clearing optimization and custodian synchronization | Capital efficiency improved; clearing submission errors reduced |
Derivatives Solutions
The Derivatives Solutions suite addresses the post-trade lifecycle for OTC derivatives instruments — including portfolio swaps, interest rate swaps, credit default swaps, and other complex derivatives — across both cleared and uncleared transaction types. The suite covers three product modules targeting swap lifecycle management, cashflow management, and payment processing automation respectively.
Derivatives post-trade operations are structurally more complex than securities settlement due to the ongoing nature of derivatives contracts — which generate cashflow events, reset cycles, margin calls, and lifecycle management obligations over the full term of each contract — and the multiplicity of regulatory reporting obligations applicable to OTC derivatives under frameworks including EMIR and Dodd-Frank.
Portfolio Swap Lifecycle Management
Portfolio Swap Lifecycle Management provides end-to-end visibility and workflow automation across the full lifecycle of portfolio swap positions — including equity swaps, total return swaps, and related instruments — from trade capture and event pairing through payment automation and ongoing lifecycle management.
Portfolio Swap Lifecycle Management — Capabilities
- Trade and events pairing with insights — automatically pairs swap trade records against lifecycle events including resets, dividend adjustments, financing charges, and termination events, surfacing discrepancies between counterparty records in real time
- Event status for payment automation — tracks the confirmation status of lifecycle events and automatically triggers payment processing workflows when event confirmation is received from all relevant counterparties
- Workflow — configures and executes structured lifecycle management workflows tailored to the specific reset cycles, payment frequencies, and event types applicable to each swap instrument
- Collaboration — enables structured cross-counterparty communication and exception resolution within the governed network environment, replacing bilateral email and phone-based workflows
Portfolio Swap Lifecycle Management — Nuvo Prime Integration
AccessFintech’s Synergy platform has a confirmed integration with Nuvo Prime, a prime services SaaS provider for large and medium-sized financial institutions. This integration connects Synergy’s swap lifecycle management capabilities with Nuvo Prime’s unified prime finance platform, which supports both equity swaps and broader prime services workflows. The combined solution delivers:
- Integrated data capture and transformation across swap lifecycle events
- Automated workflow connectivity between prime service providers and their institutional counterparties
- Real-time operational intelligence across prime swaps positions
- Reduced manual intervention across swap confirmation, reset, and payment processes
OTC Derivatives Cashflow Management
OTC Derivatives Cashflow Management addresses the cashflow calculation, confirmation, and payment lifecycle for OTC derivatives instruments — including interest rate swaps, credit default swaps, and cross-currency swaps — where cashflow events occur continuously over the life of each contract and require bilateral confirmation between counterparties before payment processing.
OTC Derivatives Cashflow Management — Capabilities
- Trade and events pairing with insights — automatically pairs OTC derivatives trade records against scheduled cashflow events — including coupon payments, premium payments, and settlement amounts — identifying calculation discrepancies between counterparty records before payment deadlines
- Event status for payment automation — monitors the confirmation status of each cashflow event across all relevant counterparties and automatically advances confirmed events into payment processing workflows
- Workflow — executes structured cashflow management workflows incorporating counterparty-specific payment frequencies, calculation methodologies, and business day conventions
- Collaboration — provides a governed communication channel for resolving cashflow calculation disputes and confirmation breaks between counterparties, with full audit trail of all communications and resolution actions
Payment Processing Automation
Payment Processing Automation addresses the netting and validation of net cash payment obligations arising from OTC derivatives cashflow events — a function that is operationally intensive at scale due to the volume of bilateral cashflow events that must be aggregated, netted, and validated before payment instructions are generated.
Payment Processing Automation — Capabilities
- Netting rules for net payment processing — applies configurable netting rules to aggregate gross cashflow obligations across multiple OTC derivatives contracts between counterparty pairs, calculating net payment amounts per currency and settlement date
- Validation of net cash — validates calculated net payment amounts against counterparty records before payment instructions are generated, identifying discrepancies and routing them to structured resolution workflows before they create payment failures
- Workflow — configures and executes end-to-end payment processing workflows from cashflow event confirmation through net calculation, validation, and payment instruction generation
- Collaboration — enables structured counterparty communication throughout the payment processing lifecycle, with real-time status visibility and exception management for all payment obligations in the network
Derivatives Solutions — Full Module Summary
| Module | Instrument Coverage | Primary Function | Key Operational Outcome |
|---|---|---|---|
| Portfolio Swap Lifecycle Management | Equity swaps, total return swaps, portfolio swaps | End-to-end lifecycle management from trade capture through payment automation | Manual swap lifecycle management replaced by automated event pairing and structured workflow |
| OTC Derivatives Cashflow Management | Interest rate swaps, CDS, cross-currency swaps, OTC derivatives | Cashflow calculation confirmation and payment lifecycle management | Cashflow discrepancies identified and resolved before payment deadlines |
| Payment Processing Automation | All OTC derivatives with net payment obligations | Payment netting, net cash validation, and payment instruction generation | Gross payment volumes reduced; payment failures prevented through pre-payment validation |
Alternatives Solutions
The Alternatives Solutions suite addresses post-trade operations for private market instruments — specifically syndicated loans and private credit facilities — which represent some of the most operationally complex and manually intensive workflows in institutional finance. Unlike securities and listed derivatives, syndicated loans and private credit instruments lack standardized electronic trading infrastructure, real-time data feeds, and automated settlement mechanisms, resulting in operational workflows that remain heavily dependent on email communication, manual data reconciliation, and unstructured bilateral processes between agents, lenders, and borrowers.
AccessFintech’s Alternatives Solutions target this structural gap, providing a shared data and workflow platform that digitizes loan lifecycle management, automates agent-to-lender data distribution, and enables cross-institutional exception resolution in the syndicated loan and private credit markets.
Loans Lifecycle Management
The Loans Lifecycle Management module addresses the full operational lifecycle of syndicated loans — from trade date data management and matching through principal and interest payment processing, notice management, and audit workflow. The module connects agents, lenders, and service providers on a shared data platform, replacing fragmented bilateral communication with structured, automated workflows.
Loans Lifecycle Management — Capabilities
- Data — aggregates and normalizes syndicated loan contract data from agents, lenders, and service providers into a common data model, eliminating the fragmented data landscape that drives the majority of operational exceptions in the loan market
- Matching — automatically matches loan position data between agents and lenders, identifying discrepancies in principal balances, accrual calculations, and fee amounts before they generate payment breaks or formal disputes
- Workflow — configures and executes structured operational workflows for loan lifecycle events including draws, repayments, rollovers, amendments, and fee payments
- Collaboration — provides a governed multi-party communication channel connecting agents, lenders, custodians, and service providers, replacing unstructured email communication with auditable, structured workflows
- Notices — automates the distribution and acknowledgment of agent notices — including draw notices, repayment notices, and rate-setting notices — across all lenders simultaneously, with real-time delivery confirmation
- P&I cash payments — manages the full lifecycle of principal and interest cash payment processing, from agent payment calculation through lender receipt confirmation and break resolution
- Trade/payment cash (custody) — provides visibility into the custody-side cash settlement of loan trades and payments, enabling real-time reconciliation between loan system records and custodian cash positions
- Trades — manages the full trade lifecycle for loan secondary market transfers, including trade confirmation, settlement, and position update workflows
- Audit workflow — maintains a complete, immutable audit trail of all data changes, communications, workflow actions, and exception resolutions across the full loan lifecycle
- Credit agreement enrichment — integrates with external data providers — including a confirmed integration with the N21 platform — to enrich normalized loan data with structured credit agreement terms, reducing manual reference data look-up and data entry
Loans Lifecycle Management — Finastra Integration
AccessFintech maintains a confirmed integration between the Synergy platform and Finastra’s Fusion LenderComm platform — one of the primary agent-to-lender data distribution platforms in the syndicated loan market. This integration:
- Accelerates the availability of structured loan data to lenders by digitizing agent data distribution through the Synergy network
- Eliminates fax, email, and telephone-based communication between agents and lenders for standard loan lifecycle events
- Strengthens internal operations and collaboration between agents, lenders, and service providers through structured shared workflows
- Makes loan market reconciliation more efficient by providing a common data layer accessible to all parties simultaneously
Private Credit Lifecycle Management
The Private Credit Lifecycle Management module extends the capabilities of the Loans Lifecycle Management module to address the specific operational requirements of private credit facilities — including direct lending, mezzanine debt, and other non-syndicated private market debt instruments — which present additional complexity due to their bespoke documentation, non-standard identifiers, and the involvement of third-party agents as intermediaries between lenders and borrowers.
Private Credit Lifecycle Management — Capabilities
- Data — aggregates and normalizes private credit facility data across agents, lenders, and service providers, applying the platform’s standard normalization layer to bespoke private credit documentation structures
- Identifier agnostic — operates without dependency on standardized instrument identifiers such as ISIN or CUSIP, accommodating the non-standard and proprietary identifier conventions common in the private credit market
- Participations — manages the data and workflow lifecycle for participation interests in private credit facilities, including participation transfers, position reconciliation between participants and agents, and payment distribution
- Matching — automatically matches private credit position data between agents and lenders across principal balances, accrual calculations, and payment records, identifying discrepancies before they generate cash breaks
- Third-party agent oversight — provides lenders with a unified, real-time view of agent activities across all private credit facilities in their portfolio, enabling systematic oversight of agent data quality, payment timeliness, and notice accuracy
- Workflow — configures and executes structured operational workflows for private credit lifecycle events specific to direct lending and mezzanine debt instruments
- Collaboration — provides a governed multi-party communication channel for agents, lenders, borrowers, and service providers operating in the private credit market
- P&I cash payments — manages the full lifecycle of principal and interest cash payment processing for private credit facilities, including agent payment waterfall calculations and lender receipt confirmation
- Audit workflow — maintains a complete, immutable audit trail of all data changes, communications, and workflow actions across the private credit facility lifecycle
- Credit agreement enrichment — applies structured credit agreement term data to normalized facility records, reducing manual reference to underlying legal documentation for standard operational queries
Private Credit Lifecycle Management — Wilmington Trust Integration
AccessFintech and Wilmington Trust — a major third-party agent in the private credit and syndicated loan markets — have announced a confirmed collaboration that deploys the Private Credit Lifecycle Management module to automate and streamline loan lifecycle management across Wilmington Trust’s agent operations. Key outcomes of this deployment include:
- Real-time data transparency across all parties in the loan market — agents, lenders, and service providers — within a single governed platform
- Significant reduction in data discrepancies and resolution times across the loan lifecycle
- Lenders enabled to compare normalized data sets directly against agent records
- Prevention of cash breaks through systematic pre-payment matching
- Acceleration of the resolution process for payment discrepancies through structured collaborative workflows
Alternatives Solutions — Full Module Summary
| Module | Instrument Coverage | Primary Function | Key Differentiator |
|---|---|---|---|
| Loans Lifecycle Management | Syndicated loans, secondary loan market transfers | Full lifecycle management from trade date through P&I payments, notices, and audit | Digitizes agent-to-lender workflows; replaces email and fax communication with structured automation |
| Private Credit Lifecycle Management | Direct lending, mezzanine debt, private credit participations | Private credit lifecycle from data normalization through agent oversight, payments, and audit | Identifier-agnostic design; supports bespoke non-standard private credit documentation structures |
Full Product Suite — Master Summary Table
| Asset Class | Module | Core Function |
|---|---|---|
| Securities | Settlements Management | Real-time T+0 settlement visibility, pre-matching, exception resolution |
| Securities | Settlement Netting | Automated repo, TBA, and bilateral netting; API dispatch to custodians |
| Securities | Inventory Management | Real-time positions, depot re-alignment, partial settlement management |
| Securities | Claims Management | Dividend, interest, overdraft, CSDR, TMPG, manufactured income claims |
| Securities | Asset Servicing, Tax and FX | Corporate actions, income, tax reclaims, FX settlement tracking |
| Securities | Securities Lending | Lending trade status, recalls, collateral settlement tracking |
| Securities | Treasury Clearing | Pre-clearing optimization, custodian synchronization, API clearing access |
| Derivatives | Portfolio Swap Lifecycle Management | Swap trade and event pairing, payment automation, lifecycle workflow |
| Derivatives | OTC Derivatives Cashflow Management | Cashflow confirmation, event status tracking, payment lifecycle management |
| Derivatives | Payment Processing Automation | Net payment netting rules, net cash validation, payment instruction generation |
| Alternatives | Loans Lifecycle Management | Syndicated loan data, matching, notices, P&I payments, audit workflow |
| Alternatives | Private Credit Lifecycle Management | Private credit data, identifier-agnostic matching, agent oversight, P&I payments |
Asset Class Coverage
AccessFintech’s Synergy platform supports post-trade operations across four primary asset class categories: Securities, Derivatives, Alternatives, and Payments. Each asset class is served by a dedicated data network with purpose-built workflows, lifecycle mapping, and data schemas tailored to the specific operational characteristics, settlement conventions, regulatory requirements, and counterparty structures of that market. This multi-asset class architecture enables institutions to consolidate post-trade data management and exception resolution across their full portfolio on a single governed platform, rather than maintaining separate point solutions for each asset class.
The table below provides a structural overview of coverage before each asset class is examined in detail.
Asset Class Coverage — Platform Overview
| Asset Class | Network Name | Instrument Types | Primary Lifecycle Stage Coverage |
|---|---|---|---|
| Securities | Synergy Securities Network | Equities, fixed income, repos, TBAs, ETFs, government bonds | Trade confirmation through settlement, claims, asset servicing, lending, treasury clearing |
| Derivatives | Synergy Derivatives Network | OTC swaps, portfolio swaps, cleared derivatives, uncleared derivatives | Trade capture through cashflow management, payment processing, lifecycle events |
| Alternatives | Synergy Private Markets Network | Syndicated loans, private credit, direct lending, mezzanine debt | Trade date data through notices, P&I payments, agent oversight, audit |
| Payments | Synergy Platform — cross-asset | Net cash payments across all asset classes | Payment netting, net cash validation, payment instruction generation |
Securities
The Securities asset class represents the broadest and most established area of Synergy platform coverage, spanning equities, fixed income instruments, government bonds, repos, TBAs, ETFs, and related instruments. Securities post-trade operations involve the largest transaction volumes on the platform and the most developed regulatory framework — including CSDR in Europe, T+1 in the US, and evolving mandatory clearing requirements for US Treasury securities.
The operational challenges in securities settlement are well-documented: fragmented counterparty data, mismatched settlement instructions, claims arising from failed trades, and the operational burden of asset servicing events — including corporate actions, dividend processing, and tax reclaims — across large and diverse portfolios. Synergy’s Securities Network addresses these challenges through a combination of real-time shared visibility, pre-matching automation, and structured collaborative workflows connecting buy-side, sell-side, custodians, and agents simultaneously.
Securities — Operational Scope and Coverage
| Operational Area | Instruments Covered | Lifecycle Stage |
|---|---|---|
| Settlement visibility and exception management | Equities, fixed income, government bonds, ETFs | T+0 through settlement confirmation |
| Settlement netting | Repos, TBAs, fixed income, cash transactions | Pre-settlement through instruction submission |
| Inventory and position management | All securities instrument types | Continuous — intraday position tracking |
| Claims management | Equities, fixed income, government bonds | Post-settlement through claims resolution |
| Asset servicing | Equities, fixed income — corporate action and income events | Event announcement through payment receipt |
| Tax reclaim management | Cross-border equities and fixed income with withholding tax | Income receipt through reclaim resolution |
| Securities lending | Equities, fixed income — lending and repo instruments | Trade open through return and collateral settlement |
| Treasury clearing | US Treasury securities | Pre-clearing through CCP submission and confirmation |
Securities — Settlement Cycle Coverage
| Market | Settlement Cycle | Synergy Coverage Status |
|---|---|---|
| United States (equities, corporate bonds) | T+1 | Live — T+1 readiness supported |
| United States (US Treasury securities) | T+1 | Live — Treasury Clearing module |
| United States (repos, TBAs) | T+0 / T+1 | Live — Settlement Netting module |
| Europe (equities, bonds — CSDR jurisdictions) | T+2 (transitioning to T+1 ~2027) | Live — CSDR module; T+1 readiness in scope |
| Canada, Mexico | T+1 | Supported |
Securities — Key Operational Challenges Addressed
- Counterparty settlement instruction mismatches identified through pre-matching before settlement deadlines, replacing post-fail reactive resolution
- Gross settlement instruction volume in fixed income markets reduced through automated bilateral and multilateral netting across repos, TBAs, and cash transactions
- Dividend and income claims automated from generation through counterparty notification and resolution, replacing manual email-based bilateral claim management
- Corporate action event pairing applied across open positions to identify settlement exposure on record dates and payment dates before claims are generated
- CSDR penalty calculation and eligibility determination automated through the SIX Group data partnership, replacing manual reference data sourcing and spreadsheet-based penalty management
- Tax reclaim applications populated and tracked using normalized income and position data, reducing manual documentation preparation across multiple jurisdictions
- Securities lending recall and collateral settlement status delivered in real time across all counterparties, replacing end-of-day batch status reporting
- US Treasury pre-clearing obligations optimized through netting and custodian synchronization before CCP submission
Securities — Regulatory Framework Coverage
| Regulation | Jurisdiction | Synergy Operational Response |
|---|---|---|
| CSDR (Central Securities Depositories Regulation) | European Union | Claims management module, SIX Group eligibility data partnership, penalty calculation and management |
| T+1 Settlement Mandate | United States (live), Canada, Mexico | T+0 visibility, pre-matching, Settlement Netting, real-time instruction dispatch |
| T+1 Settlement Mandate | United Kingdom / European Union (signalled ~2027) | Platform already operationally aligned; T+1 readiness capabilities deployed |
| US Treasury Mandatory Clearing | United States | Treasury Clearing module — pre-clearing efficiency and CCP connect |
| TMPG Fails Charge Framework | United States | Claims Management module — TMPG fails charge tracking and lifecycle management |
Derivatives
The Derivatives asset class covers OTC derivatives instruments — including interest rate swaps, credit default swaps, cross-currency swaps, equity swaps, total return swaps, and portfolio swaps — across both cleared and uncleared transaction types. Derivatives post-trade operations present a structurally distinct set of challenges relative to securities, arising from the ongoing nature of derivatives contracts and the continuous stream of lifecycle events — cashflow payments, reset cycles, margin calls, and amendment events — that each contract generates over its full term.
Synergy’s Derivatives Network provides a unified view of lifecycle events across cleared and uncleared positions, enabling institutions to manage exceptions, automate cashflow confirmation, reduce manual touchpoints, and stay ahead of regulatory reporting timelines under frameworks including EMIR and Dodd-Frank. The network covers the full post-trade derivatives lifecycle from trade capture and affirmation through ongoing cashflow management, net payment processing, and final termination.
Derivatives — Operational Scope and Coverage
| Operational Area | Instruments Covered | Lifecycle Stage |
|---|---|---|
| Trade capture and event pairing | All OTC derivatives instrument types | Trade date through full contract term |
| Swap lifecycle management | Portfolio swaps, equity swaps, total return swaps | Trade capture through reset events, dividends, financing charges, termination |
| Cashflow management | Interest rate swaps, CDS, cross-currency swaps | Coupon periods through payment confirmation and receipt |
| Payment processing automation | All OTC derivatives with net payment obligations | Cashflow confirmation through net payment instruction generation |
| Cleared derivatives lifecycle | Centrally cleared OTC derivatives | Trade capture through CCP margin and settlement |
| Uncleared derivatives lifecycle | Bilateral OTC derivatives (non-CCP cleared) | Trade confirmation through ongoing bilateral lifecycle management |
| Prime swaps | Equity swaps in prime services context | Trade lifecycle through financing, resets, and prime service provider workflows |
Derivatives — Structural Complexity Factors Addressed
Derivatives post-trade operations are more operationally complex than securities settlement across several structural dimensions. The Synergy Derivatives Network addresses each of these specifically:
- Ongoing contract lifecycle: Unlike securities trades that settle and close, derivatives contracts remain open for months or years, generating continuous operational obligations. Synergy provides persistent lifecycle tracking across the full contract term rather than only at settlement
- Continuous cashflow events: Each derivatives contract generates recurring cashflow events — coupon payments, resets, premium payments — that require bilateral confirmation and net calculation before payment. Synergy automates cashflow event pairing and confirmation across counterparties, replacing manual bilateral confirmation processes
- Reset cycle management: Interest rate swaps and related instruments require periodic rate resets applied to notional amounts, generating new payment obligations at each reset date. Synergy’s lifecycle mapping incorporates reset cycle logic for each instrument type, automating event generation and confirmation workflows
- Net payment complexity: OTC derivatives cashflow obligations between counterparties are typically netted across multiple contracts before payment, requiring accurate aggregation and validation across large books. Synergy’s Payment Processing Automation module applies configurable netting rules and validates net cash amounts before payment instructions are generated
- Cleared vs. uncleared differentiation: Cleared derivatives route through CCPs with associated margin and settlement obligations, while uncleared derivatives are settled bilaterally under CSA (Credit Support Annex) arrangements. Synergy provides lifecycle management capabilities applicable to both cleared and uncleared transactions within the same platform
- Regulatory reporting obligations: OTC derivatives are subject to mandatory trade reporting under EMIR (Europe) and Dodd-Frank (United States), requiring accurate and timely post-trade data that Synergy’s normalization and enrichment capabilities support
Derivatives — Lifecycle Event Coverage
| Lifecycle Event | Instrument Type | Synergy Capability Applied |
|---|---|---|
| Trade confirmation and affirmation | All OTC derivatives | Trade and event pairing with counterparty discrepancy identification |
| Coupon / premium payment | Interest rate swaps, CDS, cross-currency swaps | Cashflow event confirmation and payment lifecycle management |
| Rate reset | Interest rate swaps, floating rate instruments | Reset cycle workflow and counterparty confirmation |
| Dividend adjustment | Equity swaps, total return swaps | Event pairing and dividend adjustment confirmation workflow |
| Financing charge | Portfolio swaps, prime swaps | Financing event lifecycle management and payment automation |
| Net payment calculation | All OTC derivatives with bilateral netting | Configurable netting rules, net cash validation, payment instruction generation |
| Termination and unwind | All OTC derivatives | Lifecycle closure workflow and final payment management |
| Margin call (cleared) | CCP-cleared OTC derivatives | Cleared lifecycle management and CCP connectivity |
Derivatives — Regulatory Framework Coverage
| Regulation | Jurisdiction | Derivatives Scope | Synergy Operational Response |
|---|---|---|---|
| EMIR (European Market Infrastructure Regulation) | European Union | OTC derivatives trade reporting, clearing obligation, risk mitigation | Post-trade data normalization, lifecycle event tracking, regulatory timeline management |
| Dodd-Frank | United States | OTC derivatives trade reporting, mandatory clearing | Trade data capture, lifecycle management, cleared derivatives support |
| EMIR Refit | European Union | Updated reporting obligations — extended data fields, pairing and matching | Enhanced data normalization and enrichment for updated reporting requirements |
| Basel III / IV (margin requirements) | Global | Uncleared derivatives margin — SIMM calculation inputs | Position and cashflow data supporting margin calculation infrastructure |
Alternatives
The Alternatives asset class covers private market instruments — specifically syndicated loans and private credit facilities — which represent the most operationally underdeveloped segment of institutional post-trade infrastructure. Unlike securities and listed derivatives, private market instruments trade in fragmented, largely manual markets characterized by bespoke documentation, non-standard identifiers, high agent dependency, and operational workflows that remain heavily reliant on email, fax, and telephone communication between agents and lenders.
Synergy’s Private Markets Network addresses this structural gap by providing a shared data and collaboration platform that digitizes the loan lifecycle, automates agent-to-lender data distribution, enables systematic lender oversight of agent operations, and replaces bilateral manual workflows with structured, auditable multi-party automation. The network is explicitly positioned to serve both the established syndicated loan market and the rapidly growing private credit market, which has expanded significantly as institutional investors have increased allocations to direct lending, mezzanine debt, and other non-bank credit instruments.
Alternatives — Market Context and Structural Challenges
| Challenge | Root Cause | Operational Impact |
|---|---|---|
| Manual agent-to-lender communication | Absence of standardized electronic data distribution infrastructure in loan markets | High email and phone volume; delayed and error-prone data distribution |
| Non-standard instrument identifiers | Syndicated loans and private credit facilities lack universal ISIN or CUSIP assignment | Cross-system position matching requires manual identifier mapping |
| Bespoke credit agreement documentation | Each loan facility has unique terms, definitions, and payment mechanics | Manual reference to legal documentation for standard operational queries |
| Third-party agent dependency | Agents control primary data sources for loan lifecycle events | Lenders lack independent visibility into agent data quality and payment accuracy |
| P&I payment discrepancies | Accrual calculation differences between agent and lender systems | Cash breaks, payment disputes, and manual reconciliation overhead |
| Fragmented participant ecosystem | Multiple agents, sub-agents, custodians, and service providers per facility | No single shared view of facility data across all parties |
| Private credit growth outpacing infrastructure | Rapid AUM growth in direct lending and private credit without corresponding operational modernization | Manual process volumes increasing faster than operational capacity |
Alternatives — Operational Scope and Coverage
| Operational Area | Instrument Types | Lifecycle Stage |
|---|---|---|
| Loan data aggregation and normalization | Syndicated loans, private credit facilities | Trade date through full facility term |
| Position matching — agent to lender | Syndicated loans, participations, private credit | Continuous — principal, accruals, fees |
| Notice management and distribution | All loan facility types | Draw, repayment, rollover, amendment, rate-setting notices |
| P&I payment lifecycle management | Syndicated loans, private credit, direct lending | Payment calculation through receipt confirmation and break resolution |
| Third-party agent oversight | Private credit, direct lending with external agents | Ongoing — agent data quality, payment timeliness, notice accuracy |
| Secondary market trade lifecycle | Syndicated loan secondary market transfers | Trade confirmation through settlement and position update |
| Audit and compliance workflow | All loan and private credit instrument types | Full lifecycle — immutable audit trail of all data changes and communications |
| Credit agreement enrichment | Syndicated loans, private credit — via N21 integration | Continuous — structured credit agreement term data applied to operational records |
Alternatives — Key Differentiators of the Private Markets Network
- Identifier-agnostic design: The Private Credit Lifecycle Management module operates without dependency on standardized instrument identifiers, accommodating the proprietary and non-standard identifier conventions that are structurally endemic to private credit markets and that prevent the application of securities-style matching logic to private credit positions
- Multi-party agent oversight infrastructure: The platform provides lenders with a systematic, real-time view of agent activities across their full private credit portfolio — a capability that does not exist in the current market, where lenders must contact agents bilaterally to obtain position and payment information
- Credit agreement enrichment via N21 integration: The confirmed integration with the N21 platform enables structured credit agreement term data to be applied programmatically to operational loan records, reducing the volume of manual legal document queries that currently consume significant operations team capacity
- Finastra Fusion LenderComm integration: The confirmed integration with Finastra’s Fusion LenderComm platform digitizes the agent-to-lender data distribution channel for Finastra’s loan market client base, extending the Synergy network’s reach into the established syndicated loan agent infrastructure
- Wilmington Trust deployment: The confirmed deployment with Wilmington Trust — a major third-party agent in the private credit and syndicated loan markets — demonstrates live production use of the Private Credit Lifecycle Management module at institutional scale
Alternatives — Participant Connectivity on the Private Markets Network
| Participant Type | Role in Loan Market | Synergy Network Function |
|---|---|---|
| Syndication agents | Primary data source for facility lifecycle events | Data normalization and structured distribution to all lenders simultaneously |
| Lenders (buy-side) | Capital providers — asset managers, hedge funds, insurance companies | Real-time visibility into agent data, position matching, payment confirmation |
| Sub-agents | Secondary agents managing sub-participations | Participation data management and agent-to-sub-agent workflow |
| Third-party agents | Independent agents in private credit facilities | Agent oversight module — systematic lender monitoring of agent operations |
| Custodians | Cash settlement and custody for loan payments | Trade/payment cash custody visibility and reconciliation |
| Service providers | Loan administration, data, and analytics vendors | Network connectivity via API; data enrichment and workflow integration |
Payments
The Payments category on the Synergy platform addresses the cross-asset net cash payment obligations generated by post-trade operations across Securities, Derivatives, and Alternatives instruments. Rather than operating as a standalone payments infrastructure, Synergy’s payment capabilities function as an integrated layer within the broader post-trade workflow — aggregating payment obligations arising from multiple asset class workflows, applying configurable netting rules, validating net cash amounts against counterparty records, and generating payment instructions that are dispatched to custodians and settlement systems via API.
This cross-asset payment function is operationally significant because payment obligations in institutional finance rarely arise from a single instrument type in isolation. Institutions managing large, diversified portfolios must simultaneously process securities settlement cash, OTC derivatives cashflow payments, loan P&I payments, and claims compensation payments — each generated by different systems, calculated under different conventions, and settled through different custodian and clearing channels. Synergy consolidates these fragmented payment streams into a single governed workflow.
Payments — Operational Scope and Coverage
| Payment Type | Source Asset Class | Synergy Payment Capability |
|---|---|---|
| Securities settlement cash | Equities, fixed income, repos, TBAs | Settlement instruction generation, custodian API dispatch |
| OTC derivatives net cashflow payments | Interest rate swaps, CDS, cross-currency swaps | Net payment calculation, validation, payment instruction generation |
| Portfolio swap financing and dividend payments | Equity swaps, total return swaps, portfolio swaps | Event-driven payment automation, net cash validation |
| Loan P&I cash payments | Syndicated loans, private credit | P&I payment lifecycle from agent calculation through lender receipt confirmation |
| CSDR cash penalties and compensation | Securities subject to CSDR | Penalty calculation, cash penalty payment, compensation claim management |
| Tax reclaim payments | Cross-border securities with withholding tax | Reclaim filing, status tracking, receipt confirmation |
| Claims compensation | Dividend, interest, overdraft, manufactured income claims | Claim calculation, counterparty notification, payment receipt tracking |
| Netting — repos and TBAs | Fixed income — repo and TBA instruments | Bilateral and multilateral netting, netted instruction dispatch via API |
Payments — Key Operational Capabilities
- Cross-asset netting: Applies configurable netting logic across payment obligations arising from multiple asset classes and multiple contracts between the same counterparty pair, reducing gross payment volumes and the associated funding requirements
- Net cash validation: Validates calculated net payment amounts against counterparty records within the governed Synergy network before payment instructions are generated, identifying discrepancies and routing them to structured resolution workflows before they create payment failures or overdraft exposures
- API-based custodian dispatch: Sends validated payment instructions directly to custodians and settlement infrastructure via API, eliminating manual instruction submission and the associated risk of input errors, timing delays, and custodian synchronization failures
- Real-time payment status visibility: Provides real-time tracking of payment instruction status across all custodians and settlement systems simultaneously, enabling operations teams to identify and escalate payment failures within the available settlement window
- Configurable netting rules: Allows institutions to configure netting rules aligned to their specific bilateral netting agreements, regulatory requirements, and operational preferences — accommodating the variation in netting arrangements that exists across different counterparty relationships and jurisdictions
- CCP connect for cleared payments: Provides connectivity to CCP clearing infrastructure, enabling cleared derivatives margin payments and settlement obligations to be incorporated into the unified payment processing workflow alongside bilateral and custodian-settled payment obligations
Payments — Operational Outcomes
| Challenge Addressed | Capability Applied | Outcome |
|---|---|---|
| High gross payment instruction volume | Cross-asset netting with configurable netting rules | Gross payment volumes and associated funding requirements reduced |
| Payment instruction errors and manual submission | API-based custodian dispatch | Manual instruction input eliminated; instruction accuracy improved |
| Net payment discrepancies generating payment failures | Net cash validation against counterparty records | Payment discrepancies identified and resolved before instruction generation |
| Fragmented payment status visibility | Real-time cross-custodian payment status tracking | Single unified view of all payment obligations and statuses across asset classes |
| Inconsistent netting arrangements across counterparty relationships | Configurable per-counterparty netting rules | Netting logic aligned to each institution’s specific bilateral agreements |
| Disconnected cleared and bilateral payment workflows | CCP connect integration | Cleared and bilateral payment obligations managed within a single workflow |
Asset Class Coverage — Consolidated Platform Summary
| Dimension | Securities | Derivatives | Alternatives | Payments |
|---|---|---|---|---|
| Network name | Synergy Securities Network | Synergy Derivatives Network | Synergy Private Markets Network | Cross-asset payment layer |
| Instrument types | Equities, fixed income, repos, TBAs, government bonds, ETFs | OTC swaps, portfolio swaps, cleared/uncleared derivatives | Syndicated loans, private credit, direct lending | All asset classes — net cash obligations |
| Settlement convention | T+0 to T+2 (market dependent); T+1 in US | Ongoing — contract term lifecycle | Ongoing — facility term lifecycle | Same-day to T+2 (payment type dependent) |
| Primary regulatory frameworks | CSDR, T+1, TMPG, mandatory clearing | EMIR, Dodd-Frank, EMIR Refit, Basel III/IV | Loan market conventions, credit agreement terms | CSDR cash penalties, T+1 netting requirements |
| Key counterparty types | Buy-side, sell-side, custodians, CSDs | Buy-side, sell-side, prime brokers, CCPs | Agents, lenders, sub-agents, custodians | All post-trade participants |
| Primary operational challenge addressed | Settlement fails, CSDR penalties, T+1 readiness | Cashflow discrepancies, manual lifecycle management, regulatory reporting | Manual agent communication, P&I cash breaks, lack of agent oversight | Gross payment volumes, net cash discrepancies, manual custodian dispatch |
| AI/ML application | Settlement fail forecasting, pre-matching insights | Cashflow anomaly detection, event pattern analysis |
Regulatory Compliance Solutions
Regulatory compliance represents one of the primary operational and commercial drivers for adoption of the Synergy platform across capital markets institutions. The post-trade regulatory environment has intensified significantly across all major jurisdictions — with the acceleration of settlement cycles, the expansion of derivatives reporting obligations, the introduction of mandatory clearing requirements, and the enforcement of settlement discipline regimes generating compounding operational demands on institutions that rely on fragmented, manual data infrastructure.
AccessFintech’s regulatory compliance capabilities are not delivered as separate compliance modules distinct from its core operational platform. Instead, compliance functionality is embedded within the same data normalization, workflow automation, and exception management infrastructure that drives the platform’s operational efficiency outcomes. This architectural integration means that institutions addressing regulatory requirements through Synergy simultaneously improve their operational workflows — and vice versa — without maintaining separate compliance-specific data pipelines or systems.
The platform’s regulatory coverage spans four primary frameworks: the Central Securities Depositories Regulation (CSDR) in Europe, T+1 settlement mandates across North America and the forthcoming transition in the UK and EU, OTC derivatives reporting obligations under EMIR and Dodd-Frank, and IBOR/ABOR reconciliation requirements arising from the transition away from LIBOR-based reference rates and the associated reconciliation of investment book and accounting book of record data.
Regulatory Compliance — Framework Coverage Summary
| Regulatory Framework | Jurisdiction | Asset Class Scope | Synergy Compliance Capability |
|---|---|---|---|
| CSDR — Settlement Discipline Regime | European Union | Securities — equities, bonds, repos | Penalty calculation, eligibility data, claims management, fail compression |
| T+1 Settlement Mandate | United States, Canada, Mexico (live) | Equities, corporate bonds, municipal bonds | T+0 visibility, pre-matching, Settlement Netting, real-time API dispatch |
| T+1 Settlement Mandate | United Kingdom, European Union (signalled) | Equities, bonds | Platform operationally aligned; T+1 readiness capabilities deployed |
| EMIR / EMIR Refit | European Union | OTC derivatives — all instrument types | Trade data normalization, lifecycle event tracking, regulatory timeline management |
| Dodd-Frank | United States | OTC derivatives — all instrument types | Trade data capture, cleared derivatives lifecycle management |
| IBOR / ABOR Reconciliation | Global — LIBOR transition jurisdictions | Multi-asset — all instrument types | Data normalization, cross-system reconciliation, discrepancy identification |
| TMPG Fails Charge Framework | United States | US Treasury securities | Claims Management module — fails charge tracking and lifecycle management |
| US Treasury Mandatory Clearing | United States | US Treasury securities | Treasury Clearing module — pre-clearing efficiency, CCP connect |
CSDR — Central Securities Depositories Regulation
The Central Securities Depositories Regulation is a European Union regulatory framework that introduced a mandatory settlement discipline regime applicable to securities transactions settling in EU-domiciled central securities depositories. The Settlement Discipline Regime component of CSDR — which took effect in February 2022 — introduced two primary compliance obligations for market participants: cash penalties for settlement fails that occur beyond the intended settlement date, and mandatory buy-in procedures for settlement fails that persist beyond defined timeframes.
CSDR compliance presents significant operational complexity for institutions active in European securities markets. The regulation requires institutions to accurately identify which trades are subject to CSDR, calculate the correct penalty amounts using CSD-provided eligibility and pricing data, process cash penalty payments and compensation receipts through the CSD infrastructure, manage claims arising from settlement fails attributable to counterparty failures, and maintain comprehensive records of all settlement discipline activity for regulatory reporting and internal governance purposes.
The majority of these functions require data that is distributed across multiple systems and counterparties — settlement instruction data from custodian systems, eligibility data from CSDs, pricing data for penalty calculation, and counterparty records for claim management — that institutions must currently source, normalize, and reconcile manually or through fragmented bilateral processes.
CSDR — Core Compliance Challenges
| Compliance Requirement | Operational Challenge | Root Cause |
|---|---|---|
| Settlement fail identification | Identifying which failed trades are CSDR-eligible | CSDR eligibility depends on CSD, instrument type, and counterparty jurisdiction — data distributed across multiple systems |
| Penalty calculation | Calculating accurate cash penalty amounts | Penalty calculation requires real-time pricing data and CSD-specific eligibility parameters not natively available in most settlement systems |
| Penalty payment processing | Processing cash penalty debits and compensation credits | Penalty flows route through CSD infrastructure requiring specialized data feeds and reconciliation |
| Claims management | Managing claims where counterparty is responsible for the settlement fail | Bilateral claim communication and resolution currently conducted via email and phone |
| Mandatory buy-in management | Tracking buy-in timelines and managing buy-in execution | Buy-in timelines vary by instrument type and CSD; tracking requires persistent lifecycle monitoring |
| Regulatory record-keeping | Maintaining audit-ready records of all CSDR activity | Data distributed across settlement, claims, and penalty systems without unified audit trail |
CSDR — Synergy Platform Response
AccessFintech addresses CSDR compliance through a combination of native platform capabilities and a confirmed strategic data partnership with SIX Group — a major European market infrastructure provider and CSD operator — specifically to solve the eligibility data sourcing challenge that represents one of the most significant operational barriers to CSDR compliance.
SIX Group Data Partnership — CSDR Eligibility and Penalty Data
The AccessFintech and SIX Group partnership provides joint CSDR clients with:
- Seamless identification of CSDR-eligible trades and instruments within the Synergy workflow, using SIX Group’s authoritative eligibility data feed applied directly to normalized settlement records
- Market value data sourced from SIX Group’s reference data infrastructure to support accurate cash penalty calculation without manual price sourcing
- A reliable single source of eligibility and pricing data between CSDs and their participants, eliminating the fragmented and inconsistent eligibility data sourcing that previously required manual intervention
- Real-time penalty data integrated into the Synergy exception management workflow, enabling operations teams to identify, validate, and act on CSDR penalty obligations within the same platform used for settlement exception management
CSDR — Platform Capabilities
- Eligibility determination: Automatically identifies CSDR-eligible trades within the normalized settlement data set using SIX Group eligibility data, replacing manual eligibility screening processes
- Penalty calculation: Calculates cash penalty amounts using CSD-provided pricing and eligibility parameters applied to normalized settlement fail records, replacing spreadsheet-based manual calculation
- Cash penalty management: Manages the full lifecycle of CSDR cash penalty debits and compensation credits, including reconciliation of penalty flows against CSD statements and counterparty records
- Claims management integration: Connects CSDR penalty identification directly to the Claims Management module, automatically generating CSDR claims where a counterparty’s settlement fail has generated a penalty obligation
- Fail compression: Reduces the volume of settlement fails that generate CSDR penalties through pre-matching exception management and structured collaborative resolution workflows, addressing the penalty exposure at source rather than managing its consequences
- Audit trail: Maintains a complete, immutable audit record of all CSDR-related data, calculations, communications, and resolution actions across the settlement discipline lifecycle
CSDR — Documented Operational Outcome
| Metric | Pre-Synergy | Post-Synergy | Source |
|---|---|---|---|
| CSDR penalty validations per day | 10 | 1,000 | Global Custodian — AccessFintech institutional client case |
| Penalty reconciliation time | Multiple days | 30 minutes | Global Custodian — tier-one bank deployment |
These documented outcomes reflect the operational impact of replacing manual CSDR penalty data sourcing, calculation, and reconciliation with automated, data-driven workflows on the Synergy platform.
CSDR — Compliance Workflow Summary
| Workflow Stage | Manual Process Replaced | Synergy Automated Capability |
|---|---|---|
| Eligibility screening | Manual instrument-level eligibility lookup against CSD rules | SIX Group data feed applied automatically to normalized settlement records |
| Penalty calculation | Spreadsheet-based penalty calculation using manually sourced price data | Automated penalty calculation using integrated pricing and eligibility data |
| Penalty payment processing | Manual reconciliation of penalty debits and credits against CSD statements | Automated penalty flow reconciliation within the Claims Management module |
| Counterparty claim management | Email and phone-based bilateral claim communication | Structured claim workflow with full audit trail |
| Fail prevention | Reactive post-fail investigation | Pre-matching exception management reducing fail rate before penalties are generated |
| Regulatory record-keeping | Manual records across multiple systems | Unified immutable audit trail across all CSDR activity |
T+1 Settlement Readiness
T+1 settlement — the compression of the standard securities settlement cycle from trade date plus two business days (T+2) to trade date plus one business day (T+1) — represents one of the most significant structural changes to securities market operations in decades. The United States, Canada, and Mexico implemented T+1 settlement in 2024, and the United Kingdom and European Union have signalled a potential transition to T+1 as early as 2027.
The operational impact of T+1 is not limited to shortening the settlement window by one day. The compression fundamentally changes the available time for all post-trade processes that must complete between trade execution and settlement — including affirmation, allocation, confirmation, pre-matching, exception resolution, and settlement instruction submission. Processes that were operationally tolerable within a T+2 window become operationally critical failure points under T+1, because the margin for error is halved and the consequences of unresolved exceptions — settlement fails, CSDR penalties, and balance sheet drag — materialize faster.
Industry data cited by AccessFintech indicates that a substantial proportion of European institutions reported insufficient preparedness for the US T+1 transition at the time of implementation, reflecting the scale of operational change required and the inadequacy of manual exception resolution processes at the speed T+1 demands.
T+1 — Settlement Cycle Transition Timeline
| Market | Previous Cycle | Current / Target Cycle | Implementation Status |
|---|---|---|---|
| United States — equities, corporate bonds, municipal bonds | T+2 | T+1 | Live — implemented 2024 |
| Canada | T+2 | T+1 | Live — implemented 2024 |
| Mexico | T+2 | T+1 | Live — implemented 2024 |
| United States — US Treasury securities | T+1 | T+1 (mandatory clearing expansion) | Live — Treasury Clearing module in scope |
| United Kingdom | T+2 | T+1 | Signalled — target approximately 2027 |
| European Union | T+2 | T+1 | Signalled — target approximately 2027 |
| India | T+2 | T+1 (selective) | Partial implementation underway |
T+1 — Operational Requirements and Platform Response
The move to T+1 creates specific operational requirements that the Synergy platform directly addresses across its core infrastructure layers:
Requirement 1: Real-Time Trade Status Visibility from T+0
Under T+1, institutions cannot wait until the morning after trade date to identify and escalate settlement exceptions. The available resolution window begins at trade execution and closes at the T+1 settlement deadline. Synergy provides real-time trade status visibility from T+0 through the Settlements Management module, enabling operations teams to identify exceptions within hours of trade execution rather than the following business day.
Requirement 2: Pre-Matching Before Instruction Submission
T+1 settlement requires that counterparty records are aligned and settlement instructions are matched before the end of trade date — a process that previously occurred overnight under T+2. Synergy’s pre-matching exception insights automatically identify discrepancies between counterparty data sets immediately upon data ingestion, surfacing exceptions for resolution within the T+0 window before instructions are submitted.
Requirement 3: Automated Settlement Instruction Dispatch
Manual settlement instruction submission is incompatible with T+1 at scale. Synergy’s API-based custodian dispatch capability sends validated settlement instructions directly to custodians via API upon matching confirmation, eliminating manual instruction submission and the associated timing delays.
Requirement 4: FX Settlement Funding for T+1
For cross-currency trades settling under T+1, institutions must source and confirm FX funding within a compressed timeline. The confirmed AccessFintech integration with BNY Mellon’s Universal FX platform addresses this requirement by enabling Synergy clients to fund T+1 settlement activity in an efficient and transparent manner through BNY Mellon’s FX execution infrastructure.
Requirement 5: Settlement Netting to Reduce Gross Obligations
T+1 compresses the available time for funding gross settlement obligations, increasing the operational and capital efficiency benefits of netting. Synergy’s Settlement Netting module reduces gross settlement instruction volumes through automated bilateral and multilateral netting across repos, TBAs, and fixed income instruments, directly reducing the funding requirements that institutions must meet within the T+1 window.
T+1 — Platform Capability Mapping
| T+1 Operational Requirement | Synergy Capability | Module |
|---|---|---|
| Real-time trade status from T+0 | T+0 cross-counterparty settlement visibility | Settlements Management |
| Pre-matching within T+0 window | Automated pre-matching exception identification | Settlements Management |
| Automated instruction submission | API-based custodian dispatch | Settlements Management / Settlement Netting |
| FX funding for cross-currency settlement | BNY Mellon Universal FX integration | Platform integration |
| Gross settlement obligation reduction | Bilateral and multilateral netting — repos, TBAs, fixed income | Settlement Netting |
| Exception resolution within T+0 | Structured cross-counterparty collaborative workflow | Settlements Management |
| Fail prediction before settlement date | ML-based settlement fail forecasting | AccessIQ |
| Cross-custodian position synchronization | Real-time position visibility across all custodians |
T+1 — Institutions Supported
The following confirmed institutional deployments demonstrate Synergy’s live T+1 operational support:
| Institution | T+1 Function Supported |
|---|---|
| BNY Mellon | Universal FX platform integration for T+1 settlement funding |
| J.P. Morgan | Settlement Netting launch participant — fixed income and repo |
| Citi | Settlement Netting launch participant — fixed income and repo |
| S&P Global Market Intelligence | Automated and standardised securities processing across trade and settlement lifecycle under T+1 |
| BlackRock (Aladdin) | Bilateral post-trade connectivity across Aladdin buy-side community supporting T+1 operational requirements |
T+1 — Key Operational Risks Addressed
- Affirmation rate compression: T+1 requires higher same-day affirmation rates than T+2; pre-matching automation directly supports affirmation within the T+0 window
- Exception resolution bottleneck: Manual email and phone-based exception resolution cannot operate at T+1 speed at institutional scale; structured collaborative workflow on Synergy replaces manual processes
- FX funding timing mismatch: Cross-currency trades require FX settlement funding within a compressed window; BNY Mellon integration provides automated FX funding capability
- Custodian synchronization failures: Misaligned positions across custodians generate settlement fails under T+1; Inventory Management module provides real-time cross-custodian position synchronization
- Netting efficiency reduction: Compressed timelines reduce netting opportunities under manual processes; automated Settlement Netting preserves netting benefits within T+1 constraints
OTC Derivatives Regulatory Reporting
OTC derivatives are subject to mandatory post-trade regulatory reporting obligations across all major jurisdictions in which AccessFintech’s institutional client base operates. These reporting frameworks require institutions to submit detailed trade and lifecycle data to authorized trade repositories within defined timelines following trade execution and for each subsequent lifecycle event — including amendments, terminations, valuations, and collateral updates — over the full term of each derivatives contract.
The operational challenge of OTC derivatives regulatory reporting arises from the combination of data complexity and data distribution. Reporting submissions require accurate, timely data across a large number of standardized fields — counterparty identifiers, instrument classifications, notional amounts, payment terms, lifecycle event data, and valuation data — that is typically distributed across multiple internal systems, external data providers, and counterparty records, none of which natively align to the data formats required by reporting frameworks.
OTC Derivatives Regulatory Reporting — Framework Overview
| Framework | Jurisdiction | Scope | Key Requirements |
|---|---|---|---|
| EMIR (European Market Infrastructure Regulation) | European Union | All OTC derivatives — financial and non-financial counterparties above clearing threshold | Trade reporting to EU trade repositories, clearing obligation for eligible OTC derivatives, bilateral risk mitigation for uncleared derivatives |
| EMIR Refit | European Union | Updated EMIR reporting — expanded field set, pairing and matching requirements | Extended data fields aligned to CPMI-IOSCO technical standards, UTI (Unique Trade Identifier) requirements, reconciliation between counterparty submissions |
| Dodd-Frank Title VII | United States | OTC derivatives — swaps and security-based swaps | Real-time public reporting, regulatory reporting to SDRs (Swap Data Repositories), clearing mandate for eligible swaps |
| MiFID II / MiFIR | European Union | OTC derivatives traded on or accessed through trading venues | Transaction reporting, pre- and post-trade transparency requirements |
| ASIC Derivatives Reporting | Australia | OTC derivatives — Australian entities | Reporting to ASIC-licensed trade repositories |
| HKMA / SFC Reporting | Hong Kong | OTC derivatives — Hong Kong entities | Reporting to HKMA-approved trade repositories |
OTC Derivatives Regulatory Reporting — Data Requirements and Synergy Response
Accurate regulatory reporting for OTC derivatives requires a complete, normalized, and continuously updated data set covering each contract from trade date through termination. The Synergy Derivatives Network provides the foundational data infrastructure that supports this requirement:
- Trade data normalization: All OTC derivatives trade data ingested into Synergy is normalized to standardized schemas applicable across instrument types, reducing the data transformation work required before reporting submission
- Lifecycle event tracking: Synergy tracks all lifecycle events — resets, amendments, terminations, cashflow payments — across the full contract term, maintaining an up-to-date record of each contract’s current state that reflects the data required for lifecycle event reporting
- Counterparty data alignment: The Controlled Bridge governance layer ensures that counterparty data discrepancies are identified and resolved through structured workflow, reducing the volume of reporting breaks caused by mismatched counterparty records
- Regulatory timeline management: Synergy’s asset class-specific lifecycle mapping incorporates the reporting timelines applicable to each derivatives instrument type and jurisdiction, surfacing reporting deadlines within the operational workflow
- EMIR Refit alignment: The expanded data field requirements introduced under EMIR Refit — including UTI generation and reconciliation, extended counterparty data, and updated product classification fields — are accommodated within Synergy’s data normalization and enrichment capabilities
- Enrichment pipeline: Synergy’s data enrichment capabilities support the population of reference data fields — including LEI (Legal Entity Identifier) data, CFI (Classification of Financial Instruments) codes, and instrument reference data — that regulatory reporting frameworks require but that are not typically present in raw trade data from execution systems
OTC Derivatives Regulatory Reporting — Operational Capabilities
| Reporting Requirement | Operational Challenge | Synergy Capability |
|---|---|---|
| Real-time trade reporting | Trade data distributed across execution, risk, and post-trade systems | Normalized trade data available in real time from point of ingestion |
| Lifecycle event reporting | Event data generated across multiple systems over contract term | Persistent lifecycle tracking from trade date through termination |
| UTI generation and reconciliation (EMIR Refit) | UTI must be agreed between counterparties before reporting | Counterparty data alignment through Controlled Bridge governance |
| Counterparty identifier accuracy | LEI data currency and accuracy across large counterparty populations | Data enrichment pipeline with reference data integration |
| Cleared vs. uncleared differentiation | Different reporting requirements for cleared and uncleared positions | Asset class-specific schema differentiation for cleared and bilateral transactions |
| Valuation reporting | Daily mark-to-market valuations required for uncleared derivatives | Data normalization supports valuation data integration from pricing sources |
| Collateral and margin reporting | Collateral data distributed across prime brokers, custodians, triparty agents |
OTC Derivatives Regulatory Reporting — Key Operational Outcomes
- Reduction in reporting breaks caused by counterparty data mismatches through pre-reporting counterparty data alignment on the Synergy platform
- Elimination of manual data transformation steps between trade execution data formats and regulatory reporting field requirements through automated normalization
- Real-time availability of normalized lifecycle event data for regulatory reporting submission, replacing end-of-day batch data extraction from multiple source systems
- Persistent audit trail of all trade data, lifecycle events, and counterparty communications supporting regulatory examination and internal compliance governance requirements
IBOR and ABOR Reconciliation
IBOR (Investment Book of Record) and ABOR (Accounting Book of Record) reconciliation addresses the persistent operational challenge of maintaining aligned position, valuation, and transaction data between an institution’s investment management systems — which maintain the IBOR used for portfolio management and risk decisions — and its accounting systems — which maintain the ABOR used for financial reporting, NAV calculation, and regulatory capital reporting.
Discrepancies between IBOR and ABOR records are endemic in institutional finance and arise from multiple sources: timing differences in how the same transaction is recognized across systems, different valuation methodologies applied to the same instrument, differences in corporate action treatment, currency conversion differences, and the technical complexity of reconciling data across systems that were not designed to communicate with each other. Unresolved IBOR/ABOR discrepancies directly affect the accuracy of NAV calculations, risk metrics, regulatory capital ratios, and client reporting — making reconciliation a compliance-critical function.
The complexity of IBOR/ABOR reconciliation has been significantly amplified by the global transition away from LIBOR (London Interbank Offered Rate) as the primary benchmark reference rate for financial instruments. The LIBOR transition — which replaced LIBOR with alternative risk-free rates (ARFRs) including SOFR in the US, SONIA in the UK, and EURIBOR/ESTR in the EU — required institutions to simultaneously amend the economic terms of large portfolios of LIBOR-referenced instruments and update the calculation methodologies applied to those instruments in both IBOR and ABOR systems, generating a significant new category of reconciliation discrepancies during the transition period and beyond.
IBOR/ABOR Reconciliation — Sources of Discrepancy
| Discrepancy Source | Description | Operational Impact |
|---|---|---|
| Timing differences | Transaction recognized at different times across IBOR and ABOR systems | Position and cash breaks that resolve over time but require tracking |
| Valuation methodology differences | Different pricing sources or valuation methodologies applied to the same instrument | NAV and risk metric discrepancies that do not self-resolve |
| Corporate action treatment differences | Corporate action applied at different times or under different terms across systems | Dividend, interest, and position breaks post-corporate action |
| Currency conversion differences | FX rates applied at different times or from different sources | Cash and position breaks on cross-currency instruments |
| LIBOR transition — rate methodology changes | Instruments amended from LIBOR to ARFR with different compounding and day-count conventions | Accrual and cashflow calculation discrepancies across IBOR and ABOR systems |
| LIBOR transition — legacy instrument treatment | Remaining LIBOR-referenced instruments treated differently across systems | Ongoing valuation and cashflow discrepancies for non-transitioned instruments |
| System integration gaps | IBOR and ABOR systems not natively integrated, relying on batch file transfers | Stale data in one or both systems at reconciliation point |
IBOR/ABOR Reconciliation — Synergy Platform Capabilities
The Synergy platform’s data normalization, entity resolution, and cross-system reconciliation infrastructure directly addresses the technical requirements of IBOR/ABOR reconciliation:
- Cross-system data normalization: Ingests data from IBOR systems (OMS, portfolio management platforms) and ABOR systems (accounting platforms, fund administration systems) simultaneously and normalizes both data sets to a common schema, enabling automated comparison at the transaction and position level
- Entity resolution across disparate systems: Resolves instrument, counterparty, and transaction identifiers across IBOR and ABOR systems that may reference the same economic position using different internal identifiers, ensuring that reconciliation comparisons are applied to genuinely matching records rather than failing on identifier mismatches
- Discrepancy identification and classification: Automatically identifies discrepancies between normalized IBOR and ABOR records and classifies them by type — timing differences, valuation differences, corporate action breaks, currency differences — enabling prioritized resolution workflows
- Structured resolution workflow: Routes identified IBOR/ABOR discrepancies to structured collaborative resolution workflows, connecting the operations, accounting, and investment management teams responsible for resolving each discrepancy type within a governed, auditable platform environment
- LIBOR transition support: Applies updated rate calculation methodologies — SOFR, SONIA, ESTR, and other ARFRs — to normalized instrument data, supporting accurate reconciliation of instruments that have transitioned from LIBOR to alternative reference rates and identifying residual discrepancies arising from methodology differences across IBOR and ABOR systems
- Regulatory reporting data quality: Ensures that the data used in regulatory capital and NAV calculations is reconciled and accurate before it flows into downstream reporting systems, directly supporting the data quality requirements of regulatory frameworks including AIFMD, UCITS, and IFRS reporting standards
IBOR/ABOR Reconciliation — Operational Workflow
| Reconciliation Stage | Current Manual Process | Synergy Automated Capability |
|---|---|---|
| Data extraction | Manual extraction of position and transaction data from IBOR and ABOR systems | Automated ingestion via push/pull API from both system types simultaneously |
| Data standardization | Manual mapping of system-specific field definitions to common reconciliation template | Automated schema mapping and entity resolution across both systems |
| Break identification | Automated or semi-automated comparison generating break reports | Real-time discrepancy identification with automatic classification by break type |
| Break prioritization | Manual review of break reports to prioritize high-value or regulatory-critical items | AI-driven prioritization using AccessIQ anomaly detection and pattern analysis |
| Break resolution | Email and phone communication between operations, accounting, and investment teams | Structured collaborative workflow with full audit trail connecting all relevant teams |
| LIBOR/ARFR methodology reconciliation | Manual identification and recalculation of instruments affected by rate transitions | Automated methodology application across normalized instrument records |
| Reporting data quality validation | Manual sign-off processes before regulatory and client reporting | Automated reconciliation confirmation providing data quality assurance for downstream reporting |
Regulatory Compliance Solutions — Master Summary Table
| Framework | Jurisdiction | Primary Compliance Challenge | Synergy Capability | Documented Outcome |
|---|---|---|---|---|
| CSDR | European Union | Eligibility data sourcing, penalty calculation, claims management | SIX Group data partnership, Claims Management module, fail compression | 10 → 1,000 CSDR penalties validated per day; reconciliation time reduced from days to 30 minutes |
| T+1 | US / Canada / Mexico (live); UK / EU (signalled) | Compressed settlement window, pre-matching, FX funding, netting | T+0 visibility, pre-matching, Settlement Netting, BNY Mellon FX integration, API dispatch | Live deployments with J.P. Morgan, Citi, BNY Mellon, BlackRock, S&P Global |
| EMIR / EMIR Refit | European Union | Trade reporting data quality, lifecycle event coverage, UTI reconciliation | Data normalization, lifecycle tracking, counterparty data alignment, enrichment pipeline | Reporting break reduction through pre-reporting counterparty data alignment |
| Dodd-Frank | United States | OTC derivatives SDR reporting, cleared derivatives lifecycle | Trade data capture, cleared derivatives support, SDR-compatible normalization | Normalized trade data available in real time for SDR reporting submission |
| IBOR/ABOR Reconciliation | Global | Cross-system position and valuation discrepancies, LIBOR transition breaks | Cross-system normalization, entity resolution, discrepancy classification, ARFR methodology support | Structured automated reconciliation replacing manual break identification and email-based resolution |
| TMPG | United States | US Treasury fails charge tracking and management | Claims Management module — TMPG fails charge lifecycle | Automated fails charge identification and claim management |
| US Treasury Mandatory Clearing | United States | Pre-clearing obligation optimization, CCP submission accuracy | Treasury Clearing module — pre-clearing netting, custodian synchronization, CCP connect | Reduced capital requirements through pre-clearing netting; custodian sync errors eliminated |
AccessFintech Network — Who Connects and Why
The Synergy Network derives its operational value from the breadth and diversity of its participant base. Unlike point-to-point bilateral integration solutions — where the value of a connection is limited to the two parties involved — a shared network generates compounding operational benefits as additional institutions connect, because each new participant increases the proportion of any given institution’s counterparty ecosystem that is reachable through a single governed data layer.
The Synergy Network currently connects over 250 active institutions across four primary participant categories: Buy-Side, Sell-Side, Custodians and Asset Servicers, and Market Infrastructure and Technology Providers. Each participant category connects to the network for structurally distinct operational reasons, addressing different pain points within the post-trade lifecycle from their specific position in the transaction chain.
The following sections examine each participant category in detail — covering the specific institution types within each category, the operational challenges that drive network adoption, the specific Synergy capabilities most relevant to each participant type, and the documented outcomes that participation in the network delivers.
Network Participant Overview — Summary Table
| Participant Category | Institution Types | Primary Operational Driver | Core Synergy Capability Used |
|---|---|---|---|
| Buy-Side | Asset managers, hedge funds | Settlement visibility, exception resolution, regulatory compliance, derivatives lifecycle | Settlements Management, Derivatives Network, Alternatives Network, AccessIQ |
| Sell-Side | Broker-dealers, prime brokers, executing brokers | Settlement fail compression, penalty management, client servicing, netting | Settlements Management, Settlement Netting, Claims Management, Portfolio Swap Lifecycle |
| Custodians and Asset Servicers | Global custodians, securities services firms, outsourced middle office | Custodian synchronization, asset servicing, client reporting, claims | Asset Servicing module, Settlements Management, Inventory Management, Claims Management |
| Market Infrastructure and Technology Providers | CSDs, clearing agencies, OMS platforms, fintech vendors, data providers | Data flow facilitation, downstream processing, network connectivity, API integration | Controlled Bridge, Data Vault, Settlement Netting (CCP connect), Treasury Clearing |
Buy-Side Participants
Buy-side institutions — asset managers, hedge funds, pension funds, insurance companies, sovereign wealth funds, and other institutional investors — represent one of the two primary counterparty types in every securities transaction and are systematically underserved by traditional post-trade infrastructure. In the conventional post-trade model, buy-side firms are operationally dependent on their brokers, custodians, and prime brokers for settlement status information, exception notifications, and claims resolution — receiving data that is filtered through intermediary systems and delivered with timing delays that are incompatible with the speed requirements of modern settlement cycles.
The buy-side’s structural position in the post-trade chain creates specific and well-documented operational vulnerabilities. Buy-side firms initiate trades but rely on sell-side counterparties and custodians to execute settlement instructions, manage exceptions, and process claims on their behalf. Without independent real-time visibility into the settlement status of their own trades across all counterparties and custodians simultaneously, buy-side operations teams cannot proactively identify and escalate at-risk positions — they can only react to notifications of failures that have already occurred.
The Synergy Network addresses this structural dependency by providing buy-side institutions with direct, real-time visibility into the settlement status of their trades across all connected counterparties and custodians — without requiring buy-side firms to replace their OMS or portfolio management systems or to establish bilateral data connections with each counterparty individually.
Buy-Side Institution Types on the Synergy Network
| Institution Type | Characteristics | Primary Post-Trade Challenges |
|---|---|---|
| Asset managers | Large, diversified portfolios across multiple asset classes, custodians, and prime brokers | Settlement visibility across multiple custodians, CSDR penalty exposure, T+1 readiness, derivatives lifecycle management |
| Hedge funds | High transaction volumes, complex derivatives books, prime broker dependencies | Prime swaps lifecycle management, OTC derivatives cashflow management, settlement fail monitoring, short-selling recall management |
| Pension funds | Long-only portfolios, high securities lending activity, significant fixed income exposure | Securities lending recall management, bond settlement under T+1/T+2, tax reclaim management, corporate action processing |
| Insurance companies | Large fixed income portfolios, regulatory capital sensitivity, private credit allocations | Fixed income settlement, private credit lifecycle management, ABOR/IBOR reconciliation, regulatory reporting data quality |
| Sovereign wealth funds | Multi-asset, multi-custodian, multi-jurisdiction portfolios | Cross-custodian position synchronization, multi-jurisdiction regulatory compliance, settlement fail visibility |
Buy-Side — Operational Challenges Driving Network Adoption
- Custodian opacity: Buy-side firms managing positions across multiple global custodians receive settlement status data through custodian-specific portals and file feeds that do not provide a unified cross-custodian view, requiring manual aggregation to identify total settlement exposure at any given moment
- Reactive exception management: Without pre-matching capabilities, buy-side operations teams learn of settlement exceptions after instructions have failed rather than before instructions are submitted, eliminating the opportunity for proactive resolution within the settlement window
- T+1 affirmation rate pressure: The compression of settlement cycles to T+1 requires same-day affirmation of all trades — a process that depends on rapid counterparty data alignment that manual bilateral processes cannot reliably deliver at institutional scale
- Derivatives lifecycle complexity: Hedge funds and asset managers with significant OTC derivatives books must manage continuous cashflow events, reset cycles, and lifecycle amendments across large portfolios with counterparty records maintained on different systems, generating persistent reconciliation and cashflow confirmation workloads
- Private credit operational gap: Buy-side institutions with growing private credit allocations lack operational infrastructure for systematic agent oversight, loan data reconciliation, and P&I payment tracking, relying on manual processes that do not scale with portfolio growth
- Regulatory compliance data requirements: EMIR reporting, CSDR penalty management, T+1 affirmation, and IBOR/ABOR reconciliation all require accurate, real-time post-trade data that buy-side firms cannot reliably source from fragmented bilateral data channels
- Securities lending recall management: Buy-side firms with active lending programmes must track open loans, recall notices, and collateral settlement across multiple lending agents and custodians without a unified real-time view of their full lending book exposure
Buy-Side — Synergy Platform Capabilities and Use Cases
| Use Case | Synergy Capability | Operational Outcome |
|---|---|---|
| Cross-custodian settlement visibility | Settlements Management — real-time T+0 status across all connected custodians | Single unified view of all trade settlement statuses replacing multiple custodian portals |
| Pre-matching before instruction submission | Settlements Management — pre-matching exception insights | Exceptions identified and resolved before instructions submitted; affirmation rates improved |
| T+1 affirmation | Settlements Management — T+0 visibility and structured workflow | Same-day counterparty data alignment replacing end-of-day batch affirmation processes |
| OTC derivatives cashflow management | OTC Derivatives Cashflow Management module | Cashflow discrepancies identified before payment deadlines; manual bilateral confirmation replaced |
| Prime swaps lifecycle | Portfolio Swap Lifecycle Management — Nuvo Prime integration | Automated swap event pairing and payment automation replacing manual prime services workflows |
| Private credit agent oversight | Private Credit Lifecycle Management module | Real-time agent data visibility and systematic oversight replacing bilateral email communication |
| Syndicated loan P&I payments | Loans Lifecycle Management module | P&I cash breaks prevented through pre-payment matching; resolution workflows structured |
| CSDR penalty management | Claims Management module — SIX Group data partnership | CSDR penalty obligations identified and managed without manual eligibility data sourcing |
| Securities lending tracking | Securities Lending module | Real-time recall and collateral settlement status across all lending counterparties |
| IBOR/ABOR reconciliation | Cross-system data normalization and entity resolution | Reconciliation discrepancies identified and classified automatically; resolution workflows structured |
Buy-Side — Confirmed Institutional Participants
| Institution | Participant Type | Confirmed Synergy Integration |
|---|---|---|
| BlackRock | Asset manager | Strategic partnership — Aladdin bilateral post-trade connectivity across buy-side community |
| Unnamed asset manager (AccessFintech customer story) | Asset manager | Post-trade data network participant — real-time data network transparency confirmed |
Sell-Side Participants
Sell-side institutions — broker-dealers, prime brokers, executing brokers, and investment banks — occupy the central operational position in the post-trade transaction chain. As the counterparty standing between buy-side firms and settlement infrastructure in the majority of securities and derivatives transactions, sell-side institutions bear disproportionate settlement risk, penalty exposure, and operational overhead relative to their role in the transaction. Settlement fails on the sell side generate direct financial costs through CSDR cash penalties, TMPG fails charges, and balance sheet drag from unsettled positions consuming capital that cannot be deployed elsewhere.
The operational scale of sell-side post-trade operations is substantially larger than on the buy side — a single major broker-dealer may process tens of thousands of settlement instructions daily across multiple asset classes, custodians, and markets — making the efficiency gains available through network-based data sharing and automated exception management proportionally more significant. The Synergy Network’s confirmed participation of institutions including J.P. Morgan, Citi, Goldman Sachs, Bank of America, BNP Paribas, and Deutsche Bank reflects the sell side’s recognition of the operational and financial value of shared post-trade infrastructure.
Sell-Side Institution Types on the Synergy Network
| Institution Type | Characteristics | Primary Post-Trade Challenges |
|---|---|---|
| Broker-dealers | High transaction volumes across equities, fixed income, and derivatives; central settlement counterparty role | Settlement fail rate management, CSDR penalty exposure, T+1 instruction submission speed, claims management at scale |
| Prime brokers | Hedge fund client servicing, securities lending, synthetic financing, margin management | Prime swaps lifecycle management, securities lending recall and collateral tracking, synthetic portfolio administration, client reporting |
| Executing brokers | Trade execution across multiple markets and asset classes | T+0 to T+1 affirmation turnaround, pre-matching accuracy, instruction submission automation |
| Investment banks (OTC derivatives desks) | Large OTC derivatives books — interest rate, credit, FX, equity derivatives | OTC cashflow management, EMIR/Dodd-Frank reporting data, bilateral risk management, net payment processing |
| Fixed income dealers | Government bonds, corporate bonds, repo, TBA markets | Settlement netting across repo and TBA books, Treasury clearing, TMPG fails charge management |
Sell-Side — Operational Challenges Driving Network Adoption
- Settlement fail penalty costs at scale: Sell-side institutions operating at institutional transaction volumes accumulate CSDR and TMPG penalty exposures that are material in absolute terms, making fail compression and penalty management high-priority commercial objectives rather than purely operational ones
- Multi-counterparty exception resolution bottleneck: Resolving settlement fails involving multiple counterparties — buy-side firm, custodian, sub-custodian, and clearing agent — requires simultaneous coordination across parties that currently communicate through fragmented bilateral channels, creating resolution bottlenecks that extend fail durations and increase penalty exposure
- Client servicing expectations: Buy-side clients expect real-time settlement status transparency from their brokers and prime brokers, but sell-side institutions cannot deliver this without first consolidating settlement data from their own custodian and clearing infrastructure — a problem that Synergy’s shared visibility layer directly resolves
- T+1 instruction submission speed: Under T+1, sell-side institutions must submit matched, validated settlement instructions before end of trade date for all markets subject to the accelerated cycle, requiring automated pre-matching and instruction generation capabilities that manual processes cannot provide at institutional transaction volumes
- Settlement netting operational complexity: Fixed income dealers running large repo and TBA books must calculate and execute settlement netting across hundreds or thousands of bilateral positions daily — a process that is computationally complex and operationally risky when performed manually
- Prime services operational scale: Prime brokers servicing multiple hedge fund clients across large synthetic and physical portfolios must manage swap lifecycle events, recall notices, collateral substitutions, and client reporting simultaneously across diverse instrument types with no standardized operational infrastructure
- OTC derivatives cashflow discrepancies: Derivatives desks managing large OTC derivatives books must confirm and reconcile cashflow obligations with multiple counterparties for each payment date — a process where discrepancies are common, time-sensitive, and financially material if unresolved before payment deadline
Sell-Side — Synergy Platform Capabilities and Use Cases
| Use Case | Synergy Capability | Operational Outcome |
|---|---|---|
| Settlement fail compression | Settlements Management — pre-matching, structured workflow, T+0 visibility | Fail rate reduced through proactive pre-settlement exception resolution |
| CSDR penalty management at scale | Claims Management — SIX Group data partnership | 10 → 1,000 penalties validated per day; reconciliation reduced from days to 30 minutes |
| Buy-side client servicing | Settlements Management — client servicing module | Real-time settlement status delivered to buy-side clients without manual reporting |
| T+1 instruction submission | Settlements Management — API dispatch; pre-matching | Matched instructions submitted via API before end of trade date |
| Fixed income settlement netting | Settlement Netting — repo pairoffs, TBA pairoffs, bilateral netting | Gross settlement instruction volumes and funding requirements reduced |
| OTC derivatives cashflow confirmation | OTC Derivatives Cashflow Management module | Cashflow discrepancies identified and resolved before payment deadlines |
| Prime swaps lifecycle | Portfolio Swap Lifecycle Management — Nuvo Prime integration | Automated event pairing and payment automation across prime swaps books |
| Securities lending and recall | Securities Lending module | Real-time recall and collateral settlement visibility across all lending counterparties |
| Treasury clearing optimization | Treasury Clearing module | Pre-clearing netting reduces gross Treasury clearing obligations; CCP submission accuracy improved |
| Net payment processing | Payment Processing Automation module | Gross OTC payment volumes reduced through automated netting; net cash validated before instruction generation |
Sell-Side — Confirmed Institutional Participants
| Institution | Participant Type | Confirmed Synergy Engagement |
|---|---|---|
| J.P. Morgan | Broker-dealer / investment bank | Settlement Netting founding participant — repo market; Series B and C investor |
| Citi | Broker-dealer / investment bank | Settlement Netting founding participant — repo market; Series B and C investor |
| Goldman Sachs | Broker-dealer / investment bank | Series B and C investor; early network participant |
| Bank of America | Broker-dealer / investment bank | Series C investor; network participant |
| BNP Paribas | Broker-dealer / investment bank | Series C investor via BNP Paribas Securities Services; NeoLink platform integration |
| Deutsche Bank | Broker-dealer / investment bank | Confirmed early network participant |
Custodians and Asset Servicers
Custodians and asset servicers occupy a structurally unique position in the Synergy Network. As the institutions responsible for the physical custody of securities, the execution of settlement instructions, the processing of corporate actions and income events, and the safekeeping of client assets, custodians are simultaneously data providers to the network — contributing settlement status, position, and asset servicing data — and operational beneficiaries of network connectivity, which enables them to synchronize their records with counterparty data in real time and deliver enhanced services to their buy-side clients.
Global custodians and securities services firms are among the most data-intensive participants in the post-trade ecosystem. A single global custodian may hold custody of assets for thousands of institutional clients across hundreds of markets, processing millions of settlement instructions, corporate action elections, income payments, and tax reclaim applications annually. The operational infrastructure required to manage this volume of data — while maintaining regulatory compliance, delivering real-time client reporting, and managing the financial risks associated with settlement fails and custody errors — is one of the primary drivers of custodian technology investment and partnership activity.
Outsourced middle office providers — firms that operate post-trade functions on behalf of buy-side institutions that have chosen to externalize their operations rather than maintaining them in-house — represent a growing subset of the custodian and asset servicer category on the Synergy Network, connecting to provide their buy-side clients with the same real-time post-trade visibility and workflow automation that in-house operations teams access directly.
Custodian and Asset Servicer Institution Types on the Synergy Network
| Institution Type | Characteristics | Primary Post-Trade Challenges |
|---|---|---|
| Global custodians | Multi-market, multi-asset custody; large institutional client bases | Settlement instruction management at scale, client reporting, corporate action processing, tax reclaim administration, T+1 instruction receipt speed |
| Regional custodians | Single or multi-market custody with concentrated client relationships | Settlement visibility across sub-custodian network, local market regulatory compliance, client servicing efficiency |
| Securities services firms | Specialized custody, fund administration, transfer agency | Fund-level settlement tracking, NAV calculation data quality, IBOR/ABOR reconciliation, corporate action processing |
| Outsourced middle office providers | Post-trade operations delivered as a managed service to buy-side clients | Multi-client settlement management, real-time client reporting, exceptions management across diverse client portfolios |
| Fund administrators | NAV calculation, fund accounting, investor services | ABOR data accuracy, corporate action and income processing, regulatory reporting data quality |
Custodians and Asset Servicers — Operational Challenges Driving Network Adoption
- Sub-custodian network data fragmentation: Global custodians operating through networks of sub-custodians in local markets receive settlement status data from each sub-custodian through separate, inconsistent data feeds — requiring manual aggregation to construct a unified view of global settlement status for client reporting
- Corporate action processing complexity: Corporate action events — mergers, dividends, rights issues, tender offers — require custodians to collect and process election instructions from large numbers of clients simultaneously, manage deadline tracking across multiple markets, and reconcile election outcomes against CSD records — a process that generates high exception volumes and significant manual intervention under current infrastructure
- Income payment reconciliation: Custodians must reconcile income payments — dividends, bond coupons, loan interest — received from issuers and CSDs against the amounts owed to their clients, identifying and resolving payment breaks before they generate client claims
- Tax reclaim administration volume: Cross-border income events generate withholding tax reclaim obligations in multiple jurisdictions, requiring custodians to prepare, submit, and track large volumes of reclaim applications across different national tax authorities with varying documentation requirements and processing timelines
- Client settlement reporting expectations: Institutional buy-side clients expect real-time settlement status transparency that many custodians cannot deliver through legacy reporting infrastructure, creating competitive pressure to provide enhanced digital reporting capabilities
- T+1 instruction receipt and processing speed: Under T+1, custodians must receive, validate, and submit settlement instructions within compressed timelines, requiring automated instruction receipt and processing capabilities that legacy batch-based instruction handling systems cannot support
- Manufactured income claims in securities lending: Custodians managing securities lending programmes on behalf of buy-side clients must track and process manufactured income payments — the obligation of securities borrowers to pass through coupon and dividend payments to lenders — across large lending books with no standardized automated processing infrastructure
Custodians and Asset Servicers — Synergy Platform Capabilities and Use Cases
| Use Case | Synergy Capability | Operational Outcome |
|---|---|---|
| Unified settlement status across sub-custodians | Settlements Management — cross-custodian real-time visibility | Single unified settlement view replacing multiple sub-custodian data feeds |
| Corporate action event management | Asset Servicing module — real-time corporate action status and event pairing | Corporate action exposure on open trades identified before record dates |
| Income payment reconciliation | Asset Servicing module — real-time income status | Income payment breaks identified and resolved before client claims generated |
| Tax reclaim processing | Asset Servicing module — tax reclaim filing and status tracking | Reclaim applications populated from normalized platform data; status tracked in real time |
| Buy-side client settlement reporting | Settlements Management — client servicing module | Real-time settlement status delivered to buy-side clients through custodian workflow |
| T+1 instruction receipt and processing | Settlements Management — API-based instruction receipt; pre-matching | Instruction receipt and validation automated; T+1 processing timelines met |
| Custodian synchronization for netting | Settlement Netting — custodian synchronization; API dispatch | Netted instructions delivered directly to custodians via API; synchronization errors eliminated |
| Securities lending claims | Claims Management — manufactured income | Manufactured income claims automated from identification through counterparty notification |
| Treasury clearing custodian sync | Treasury Clearing module — custodian synchronization | Treasury positions synchronized across custodians before CCP submission |
| ABOR data quality | IBOR/ABOR reconciliation capabilities | Accounting book data quality validated and reconciled before regulatory and client reporting |
Custodians and Asset Servicers — Confirmed Institutional Participants
| Institution | Participant Type | Confirmed Synergy Engagement |
|---|---|---|
| BNY Mellon | Global custodian | Universal FX platform integration for T+1 settlement funding; Series C investor; board representation |
| Wilmington Trust | Third-party agent / asset servicer | Private Credit Lifecycle Management deployment — live production use confirmed |
| BNP Paribas Securities Services | Securities services | Series C investor; NeoLink platform integration with Synergy |
Market Infrastructure and Technology Providers
Market infrastructure providers — including central securities depositories, clearing agencies, exchanges, and market utilities — and technology providers — including OMS platforms, fintech vendors, and data providers — represent the fourth primary participant category on the Synergy Network. These participants connect to the network not primarily as counterparties to individual transactions, but as providers of data, connectivity, and services that enrich the shared data layer and extend the network’s operational reach across the capital markets ecosystem.
The integration of market infrastructure providers into the Synergy Network is architecturally significant because these institutions are authoritative sources of data that participating institutions require for their own post-trade operations — eligibility data from CSDs, pricing data from market data providers, clearing confirmation from CCPs, and OMS data from portfolio management systems. By connecting these authoritative data sources directly to the Synergy network, AccessFintech enables the data that participating institutions require to flow through a single governed channel rather than being sourced separately through bilateral connections with each data provider.
Technology providers — including OMS platforms, fintech vendors, and post-trade software providers — connect to the Synergy Network through the VendorLake framework and the API-first integration model, enabling their client bases to access Synergy capabilities within familiar technology environments without requiring separate Synergy deployments.
Market Infrastructure and Technology Provider Types on the Synergy Network
| Provider Type | Examples | Role on Synergy Network |
|---|---|---|
| Central securities depositories (CSDs) | Euroclear, Clearstream, DTCC | Authoritative settlement confirmation data; CSDR eligibility and penalty data; clearing and settlement infrastructure |
| Clearing agencies and CCPs | DTCC, LCH, Eurex Clearing | Cleared derivatives and securities clearing confirmation; CCP connect for netting and Treasury clearing |
| Market data and reference data providers | SIX Group, S&P Global Market Intelligence | CSDR eligibility data; pricing data for penalty calculation; securities reference data enrichment |
| OMS and investment management platforms | BlackRock Aladdin, SimCorp, Charles River | OMS-to-network connectivity; buy-side data ingestion; bilateral post-trade workflow integration |
| Post-trade technology platforms | Broadridge, Finastra, Nuvo Prime | Settlement data contribution; post-trade workflow gateway; loan market data distribution |
| Fintech vendors | MarketAxess, EZOps, Saphyre | Specialized workflow and data capabilities contributed to the network via VendorLake |
| Loan administration platforms | N21, Finastra Fusion LenderComm | Credit agreement data enrichment; agent-to-lender data digitization |
| Consulting and implementation firms | Capco, global management consulting firms | Implementation partnerships; change management; regulatory compliance programme delivery |
Market Infrastructure and Technology Providers — Operational Challenges and Network Value
- Data distribution cost and complexity: Market infrastructure providers that must distribute data to large numbers of institutional participants currently maintain bilateral data feeds for each recipient — a model that is expensive, technically complex, and difficult to scale. The Synergy network provides a single distribution channel through which infrastructure providers can reach all connected participants simultaneously
- Integration standardization: Technology providers seeking to connect their platforms to institutional client post-trade workflows must currently build and maintain bilateral integrations with each client’s specific systems. Synergy’s API-first architecture and standardized schemas provide a single integration point that reaches the entire network membership
- Data quality at the source: For OMS platforms and post-trade technology providers, the quality of data that participating institutions can contribute to the Synergy network is directly dependent on the quality of data within those source systems. The VendorLake framework and Synergy’s ETL pipeline accommodate data from these systems regardless of format, normalizing it within the network layer rather than requiring source system changes
- Fintech distribution barrier: New fintech providers with specialized post-trade capabilities face significant barriers to market adoption because each new client connection requires a bespoke integration project. The VendorLake framework enables fintech providers to host their capabilities within the Synergy ecosystem under a single commercial and technical framework, accessing the entire network membership as a potential client base
Market Infrastructure and Technology Providers — Synergy Integration Model
| Integration Type | Technical Mechanism | Participant Category |
|---|---|---|
| CSD data feed integration | Authorized data feed via governed Controlled Bridge connection | CSDs — CSDR eligibility, penalty, settlement confirmation data |
| CCP connect | API connectivity to CCP clearing infrastructure | CCPs — cleared securities and derivatives settlement, netting |
| OMS bilateral connectivity | API-first bidirectional data exchange | OMS platforms — trade data contribution and post-trade workflow integration |
| Post-trade platform gateway | Strategic Gateway integration (Broadridge model) | Post-trade technology providers — settlement data and workflow integration |
| VendorLake hosting | Microservices hosting within AFT Cloud under unified commercial framework | Fintech vendors — specialized capability distribution across network membership |
| Reference data enrichment | Governed API data feed contributing reference data to shared data layer | Data providers — instrument reference data, pricing, eligibility data |
| Loan platform integration | API connectivity via confirmed Finastra and N21 integrations | Loan administration platforms — credit agreement data and agent distribution |
Market Infrastructure and Technology Providers — Confirmed Integrations
| Provider | Category | Confirmed Integration | Function |
|---|---|---|---|
| SIX Group | Market data / CSD | CSDR data partnership | CSDR eligibility and penalty data feed into Synergy Claims Management workflow |
| S&P Global Market Intelligence | Market data / post-trade technology | Securities processing platform integration | Automated and standardized securities processing across trade and settlement lifecycle |
| BlackRock (Aladdin) | OMS / investment management platform | Strategic bilateral connectivity partnership | Real-time post-trade collaboration between Aladdin buy-side community and Synergy network |
| Broadridge | Post-trade technology | Strategic Gateway for Settlement Workflow | Settlement data contribution; multi-party settlement fail resolution gateway |
| SimCorp | OMS / investment management platform | Asset Service Hub integration | Data aggregation and normalization for buy-side; custodian and data interoperability |
| Finastra | Post-trade technology / loan platform | Fusion LenderComm integration | Loan market data digitization; agent-to-lender data distribution through Synergy |
| MarketAxess | Trading / post-trade technology | Repo market connectivity | T+0 affirmation, confirmation, and matching of repo trades |
| Nuvo Prime | Prime services technology | Prime swaps integration | Equity swap and prime services workflow connectivity |
| N21 | Loan administration | Credit agreement enrichment integration | Structured credit agreement term data applied to Loans Lifecycle Management module |
| EZOps | AI / data fintech | Matching and reconciliation integration | AI-powered matching schemas for exception identification combined with Synergy workflow |
Network Participant Value Framework — Cross-Category Summary
| Value Dimension | Buy-Side | Sell-Side | Custodians and Asset Servicers | Market Infrastructure and Technology |
|---|---|---|---|---|
| Primary value driver | Visibility and control over settlement status across counterparties | Fail compression and penalty cost reduction at scale | Enhanced client servicing and operational efficiency | Standardized distribution channel and network reach |
| Key data contribution to network | Trade and allocation data from OMS systems | Settlement instruction and position data | Custody, asset servicing, and income data | Reference data, eligibility data, clearing confirmation |
| Key data consumed from network | Cross-counterparty settlement status, AI insights, exception alerts | Pre-matching insights, netting calculations, client status data | Counterparty instruction data, claim notifications | Normalized trade data, workflow triggers, network analytics |
| Regulatory driver | T+1 affirmation, EMIR reporting, CSDR buy-side exposure | CSDR penalties, T+1 instruction submission, TMPG | CSDR custodian obligations, T+1 processing speed | CSDR eligibility distribution, clearing mandate compliance |
| Network effect benefit | More counterparties connected means wider settlement visibility | More counterparties connected means higher fail resolution rate | More buy-side and sell-side connected means richer client reporting | More institutions connected means greater data distribution reach |
| Confirmed institutional examples | BlackRock | J.P. Morgan, Citi, Goldman Sachs, Bank of America, BNP Paribas | BNY Mellon, Wilmington Trust | SIX Group, S&P Global, Broadridge, Finastra, SimCorp |
Integrations and Partner Ecosystem
The Synergy Network’s operational value is directly proportional to the breadth and depth of its integration ecosystem. As a network-layer platform designed to sit between existing institutional systems rather than replace them, AccessFintech’s technical and commercial utility depends on the number, diversity, and quality of the integrations it maintains with the systems, platforms, and data sources that participating institutions already use to manage their post-trade operations.
AccessFintech organizes its integration ecosystem across three distinct categories. Strategic platform integrations connect Synergy directly to the OMS platforms, post-trade technology providers, market data sources, and market infrastructure that form the operational backbone of capital markets institutions. Consulting and implementation partners extend the platform’s reach into institutional change programmes, regulatory compliance initiatives, and technology transformation projects. Technology and fintech partners contribute specialized capabilities to the shared data layer through the VendorLake framework and direct API connectivity, enriching the network with data and workflow tools that complement Synergy’s core post-trade infrastructure.
This ecosystem architecture reflects a deliberate commercial and technical strategy: rather than attempting to replicate the functionality of every system with which participating institutions interact, AccessFintech establishes governed connections to authoritative data sources and established platforms, aggregating their outputs into a unified operational intelligence layer that delivers compounding value as the integration footprint expands.
Integration Ecosystem — Structural Overview
| Integration Category | Primary Function | Technical Mechanism | Commercial Model |
|---|---|---|---|
| Strategic platform integrations | Connect Synergy to OMS platforms, post-trade technology, market data, and market infrastructure | Bi-directional API; Strategic Gateway model; authorized data feeds | Strategic partnership agreements; confirmed joint deployments |
| Consulting and implementation partners | Deliver Synergy deployments within institutional transformation programmes | Joint engineering solutions; implementation methodology frameworks | Referral and co-delivery partnerships with global consulting firms |
| Technology and fintech partners | Contribute specialized data and workflow capabilities to the shared data layer | VendorLake microservices hosting; API connectivity; direct data feed integration | VendorLake commercial framework; revenue sharing; joint go-to-market |
Strategic Platform Integrations
Strategic platform integrations represent AccessFintech’s confirmed, production-deployed connections to the institutional-grade platforms and market infrastructure that constitute the primary technology environment of its target client base. Each strategic integration extends the operational reach of the Synergy network into an existing institutional workflow, enabling participating firms to access Synergy capabilities within the technology environment they already use — rather than requiring them to adopt a separate platform for post-trade collaboration and exception management.
The confirmed strategic integrations span six functional categories: investment management and OMS platforms, post-trade technology platforms, market data and reference data providers, market infrastructure and clearing, loan and private markets platforms, and prime services technology. Each category is examined in detail below, with confirmed integration specifics, technical connectivity model, and operational function documented for each partner.
Category 1: Investment Management and OMS Platform Integrations
Investment management and OMS platform integrations represent the highest-value category of strategic connectivity for the Synergy network, because they connect the platform directly to the systems through which buy-side institutions manage their investment decisions, portfolio positions, and trade workflows. Connecting Synergy to OMS platforms enables buy-side institutions to access post-trade collaboration and exception management capabilities within the workflow context of their primary operational systems, without requiring operations teams to navigate separate platforms or manually transfer data between systems.
BlackRock Aladdin — Strategic Bilateral Connectivity Partnership
The AccessFintech and BlackRock partnership — announced November 2025 — represents the most significant strategic integration in the Synergy Network’s history and the most consequential development in the platform’s expansion into the buy-side OMS ecosystem.
- Integration type: Strategic bilateral connectivity partnership between Synergy Network and BlackRock’s Aladdin platform
- Technical model: Bi-directional API connectivity enabling real-time data exchange between Aladdin’s investment management infrastructure and Synergy’s post-trade collaboration network
- Scope: The integration aims to deliver bilateral connectivity and real-time post-trade collaboration between the global buy-side Aladdin platform community — one of the largest OMS communities in institutional asset management — and the 250+ capital markets and asset servicing institutions already connected to AccessFintech’s Synergy Network
- Data coverage: Transactions, positions, cash, and reference data across the post-trade and asset servicing lifecycle
- Strategic capital component: BlackRock made a separate strategic capital investment in AccessFintech in conjunction with the partnership announcement, designed to support the company’s next phase of growth including product innovation, global expansion, and deeper ecosystem integration
- Operational outcomes delivered:
- Interoperable, secure, and intelligent workflow across the investment lifecycle for Aladdin platform clients
- Real-time data integration across the post-trade and asset servicing lifecycle for BlackRock’s own operations
- More efficient workflow, greater interoperability, and improved risk management for BlackRock’s investment operations
- Extended post-trade collaboration benefits to the wider Aladdin community across brokers, custodians, and asset servicing institutions
SimCorp — Asset Service Hub Integration
- Integration type: Cloud-based interoperability connection between Synergy Network and SimCorp’s Asset Service Hub
- Technical model: SimCorp’s Asset Service Hub provides a scalable cloud-based integration service that connects to Synergy’s data normalization and aggregation layer
- Scope: Connects SimCorp’s buy-side client base to Synergy’s data aggregation and normalization capabilities, enabling SimCorp clients to access and visualize post-trade data through the Asset Service Hub within their existing SimCorp environment
- Operational outcomes delivered:
- SimCorp clients gain access to normalized, aggregated post-trade data without separate Synergy deployment
- Custodian and data interoperability accelerated for buy-side institutions operating within SimCorp’s investment management platform
- Operational efficiency improvements across buy-side post-trade workflows embedded within the SimCorp operational environment
Category 2: Post-Trade Technology Platform Integrations
Post-trade technology platform integrations connect Synergy to the established post-trade processing infrastructure that sell-side institutions, custodians, and prime brokers use to manage their settlement, reconciliation, and operational workflows. These integrations follow a complementary model — Synergy’s network collaboration and exception management capabilities augment the processing power of established post-trade platforms rather than competing with them.
Broadridge — Strategic Gateway for Settlement Workflow
- Integration type: Strategic Gateway for Settlement Workflow — a jointly developed solution combining Broadridge’s post-trade data with Synergy’s collaboration and workflow capabilities
- Technical model: Broadridge’s industry-leading post-trade platforms and data are connected to AccessFintech’s cloud-based standardized operations workflow model through a governed API gateway
- Scope: Banks, broker-dealers, prime brokerages, and custodians accessing settlement workflow through Broadridge’s post-trade infrastructure gain the multi-party collaboration, exception visibility, and automated resolution capabilities of the Synergy network within the Broadridge operational environment
- Target institutions: Banks, broker-dealers, prime brokerages, custodians, and their buy-side clients
- Operational outcomes delivered:
- Cost savings through reduced manual exception resolution overhead
- Reduction of operational risk in multi-party settlement fail resolution
- Expedited resolution of settlement fails across multiple counterparties and asset classes
- Seamless settlement experience for buy-side clients of Broadridge’s sell-side users
- Elimination of the manual, offline resolution processes — email, phone, bilateral chat — that previously characterized multi-party settlement fail resolution
S&P Global Market Intelligence — Securities Processing Platform Integration
- Integration type: Operational integration between Synergy’s post-trade collaboration network and S&P Global Market Intelligence’s securities post-trade processing platform
- Technical model: Direct API connectivity enabling automated and standardized data exchange between S&P Global’s securities processing infrastructure and Synergy’s normalization and workflow layer
- Scope: Enhances settlement management for institutions that use S&P Global Market Intelligence’s securities processing platform by automating and standardizing securities processing across the trade and settlement lifecycle
- Operational context: The integration was developed in the context of T+1 settlement implementation, addressing the operational challenge that a substantial percentage of exceptions in securities processing still require manual intervention even as settlement cycles accelerate
- Operational outcomes delivered:
- Automated and standardized securities processing across the full trade and settlement lifecycle for joint clients
- Data interoperability improvements reducing manual data handling between S&P Global’s processing infrastructure and counterparty systems
- Settlement management efficiency improvements aligned to T+1 operational requirements
Category 3: Market Data and Reference Data Provider Integrations
Market data and reference data provider integrations connect Synergy to authoritative external data sources — including CSD-level eligibility data, instrument pricing data, and securities reference data — that participating institutions require for post-trade operations but that are not typically available within their own internal systems. These integrations enrich the shared data layer with externally sourced reference data that improves the accuracy and completeness of post-trade workflows, particularly in regulatory compliance functions where data accuracy is a compliance-critical requirement.
SIX Group — CSDR Eligibility and Penalty Data Partnership
- Integration type: Strategic data partnership for CSDR eligibility, pricing, and penalty data distribution
- Technical model: SIX Group’s authoritative CSDR eligibility and market value data is distributed to joint Synergy and SIX Group clients through a governed data feed integrated directly into Synergy’s Claims Management workflow
- Scope: Provides the market with the ability to seamlessly identify CSDR-eligible trades and instruments, determine market value for cash penalty calculation, and access a reliable single source of eligibility and pricing data between CSDs and their participants
- Problem addressed: CSDR eligibility data sourcing was identified as one of the most significant operational barriers to CSDR compliance, as eligibility determination requires CSD-level data that is not natively available in most institutional settlement systems and was previously sourced manually through fragmented bilateral channels
- Operational outcomes delivered:
- CSDR-eligible trades identified automatically within the Synergy settlement workflow without manual eligibility screening
- Accurate cash penalty amounts calculated using SIX Group pricing data without manual price sourcing
- Reliable single source of CSDR eligibility and pricing data established between CSDs and market participants
- CSDR penalty validation throughput increased from 10 per day to 1,000 per day at one institution
- Penalty reconciliation time reduced from multiple days to 30 minutes at one tier-one bank
Category 4: Market Infrastructure and Clearing Integrations
Market infrastructure integrations connect Synergy to central securities depositories, clearing agencies, and market utilities — the authoritative infrastructure providers whose data and connectivity are prerequisites for settlement confirmation, clearing submission, and regulatory compliance. These integrations enable participating institutions to access CSD and CCP data and connectivity through the Synergy network rather than maintaining separate bilateral connections with each infrastructure provider.
MarketAxess — Repo Market Connectivity
- Integration type: Post-trade connectivity integration for repo market affirmation, confirmation, and matching
- Technical model: Message integration between MarketAxess’s electronic trading infrastructure and Synergy’s exception visualization and management capabilities
- Scope: Enables firms to achieve T+0 affirmation, confirmation, and matching of repo trades, connecting MarketAxess’s repo trading workflow to Synergy’s post-trade collaboration and exception management infrastructure
- Operational outcomes delivered:
- T+0 affirmation of repo trades replacing end-of-day or next-day affirmation processes
- Exception visualization and management for repo trades within the Synergy network immediately following trade execution
- Compressed timeline from repo trade execution to settlement confirmation through automated affirmation and matching
Category 5: Loan and Private Markets Platform Integrations
Loan and private markets platform integrations address the specific data distribution and workflow challenges of the syndicated loan and private credit markets — markets that lack the electronic infrastructure standardization of securities and derivatives and that remain highly dependent on agent-controlled data distribution channels.
Finastra — Fusion LenderComm Integration
- Integration type: Operational integration between Finastra’s Fusion LenderComm agent-to-lender data distribution platform and AccessFintech’s Synergy Loans Lifecycle Management module
- Technical model: API connectivity enabling structured loan data to flow from Finastra’s LenderComm platform into Synergy’s normalization and workflow layer, making agent data available to lenders through the Synergy network
- Scope: Accelerates the availability of structured loan data to lenders by digitizing the agent data distribution channel that currently relies on email, fax, and telephone communication for the distribution of agent notices, payment calculations, and position data
- Commercial context: The partnership was framed as addressing the pressing industry challenge of loan market data digitization, with AccessFintech’s network reach and Finastra’s agent platform coverage described as complementary capabilities serving the same market participants from different positions in the data chain
- Operational outcomes delivered:
- Loan data digitized and distributed to lenders through a structured electronic channel replacing unstructured communication methods
- Reconciliation between agent and lender records made more efficient through normalized data comparison on a shared platform
- Internal operations and collaboration between agents, lenders, and service providers strengthened through structured workflow
- Manual data entry and reference look-up requirements reduced for lenders receiving structured credit agreement data through the integration
Wilmington Trust — Private Credit Lifecycle Management Deployment
- Integration type: Confirmed live production deployment of the Private Credit Lifecycle Management module with Wilmington Trust as third-party agent
- Technical model: Synergy platform deployment connecting Wilmington Trust’s agent operations to the lender institutions in its private credit client base through the Synergy Private Markets Network
- Scope: Automates and streamlines loan lifecycle management across Wilmington Trust’s agent operations, providing real-time data transparency and collaborative workflows between Wilmington Trust as agent and the lender institutions it services
- Operational outcomes delivered:
- Real-time data transparency across all parties in the loan market — agents, lenders, and service providers — within a single governed platform
- Significant reduction in data discrepancies and resolution times across the full loan lifecycle
- Lenders enabled to compare normalized data sets directly against agent records in real time
- Cash breaks prevented through systematic pre-payment matching between agent calculations and lender records
- Resolution process for payment discrepancies accelerated through structured collaborative workflow replacing bilateral email communication
N21 — Credit Agreement Enrichment Integration
- Integration type: Data enrichment integration providing structured credit agreement term data to Synergy’s Loans and Private Credit Lifecycle Management modules
- Technical model: Direct data feed from N21’s credit agreement data platform into Synergy’s normalization and entity management layer
- Scope: Applies structured credit agreement terms — payment definitions, interest calculation methodologies, amortization schedules, covenant definitions — to normalized loan operational records within Synergy, reducing manual reference to underlying legal documentation for standard operational queries
- Operational outcomes delivered:
- Manual legal document look-up requirements for standard loan operational queries reduced
- Accrual calculation accuracy improved through application of structured credit agreement term data to automated accrual matching workflows
- Operational efficiency improvements across the full loan lifecycle through enriched, structured data applied at the entity level
Category 6: Prime Services Technology Integrations
Nuvo Prime — Prime Swaps Integration
- Integration type: Operational integration between Nuvo Prime’s unified prime finance platform and Synergy’s Portfolio Swap Lifecycle Management capabilities
- Technical model: API connectivity enabling real-time data capture and transformation across swap lifecycle events between Nuvo Prime’s prime services infrastructure and Synergy’s derivatives network
- Scope: Delivers an integrated solution for swap providers connecting Nuvo Prime’s unified prime finance platform — which supports both equity swaps and broader prime services workflows — with Synergy’s real-time data capture, AI-driven insights, and workflow automation capabilities
- Target institutions: Large and medium-sized financial institutions operating prime services businesses, particularly those with significant equity swap and portfolio swap activities
- Operational outcomes delivered:
- Streamlined processes and enhanced control across the prime swaps workflow
- Task automation reducing manual intervention across swap confirmation, event processing, and payment workflows
- Greater scalability for prime service businesses through automated data capture and workflow execution replacing manual operational processes
- Real-time operational intelligence across prime swaps positions through Synergy’s AccessIQ layer
BNY Mellon — Universal FX Platform Integration
- Integration type: Operational integration between BNY Mellon’s Universal FX platform and AccessFintech’s Synergy Network for T+1 settlement funding
- Technical model: Connectivity between Synergy’s settlement workflow and BNY Mellon’s FX execution infrastructure enabling automated FX funding of T+1 settlement activity
- Scope: Enables Synergy clients to leverage BNY Mellon’s Universal FX platform to fund cross-currency T+1 settlement activity in an efficient and transparent manner — addressing the FX funding timing challenge created by the compression of settlement cycles to T+1
- Operational outcomes delivered:
- Cross-currency T+1 settlement funding automated within the compressed T+1 settlement window
- FX execution and settlement funding delivered with transparency and efficiency for Synergy clients with cross-currency settlement obligations
- T+1 settlement funding operational risk reduced through automated FX sourcing replacing manual FX desk coordination
Strategic Platform Integrations — Master Reference Table
| Partner | Category | Integration Type | Asset Class | Core Function | Operational Outcome |
|---|---|---|---|---|---|
| BlackRock (Aladdin) | OMS / investment management | Strategic bilateral connectivity partnership | All asset classes | Real-time post-trade collaboration between Aladdin buy-side community and Synergy network | Interoperable post-trade workflow for 250+ Synergy institutions and Aladdin client community |
| SimCorp | OMS / investment management | Asset Service Hub cloud integration | Securities, multi-asset | Data aggregation and normalization for SimCorp buy-side clients | Custodian and data interoperability accelerated within SimCorp environment |
| Broadridge | Post-trade technology | Strategic Gateway for Settlement Workflow | Securities | Multi-party settlement fail resolution combining Broadridge data with Synergy workflow | Settlement fail resolution expedited; operational risk and costs reduced |
| S&P Global Market Intelligence | Post-trade technology / market data | Securities processing platform integration | Securities | Automated and standardized securities processing across trade and settlement lifecycle | T+1-aligned settlement management automation for joint clients |
| SIX Group | Market data / CSD | CSDR data partnership | Securities | CSDR eligibility, pricing, and penalty data distribution | 10 → 1,000 CSDR penalties per day; reconciliation days → 30 minutes |
| MarketAxess | Trading / post-trade technology | Repo market connectivity | Securities — repos | T+0 repo affirmation, confirmation, and matching | T+0 affirmation replacing end-of-day repo confirmation processes |
| Finastra (Fusion LenderComm) | Loan platform | Loan market data integration | Alternatives — loans | Digitized agent-to-lender loan data distribution | Email and fax communication replaced by structured electronic data distribution |
| Wilmington Trust | Third-party agent | Private Credit Lifecycle Management deployment | Alternatives — private credit | Automated private credit lifecycle management — agent to lender | Real-time data transparency; cash breaks prevented; resolution times reduced |
| N21 | Loan administration | Credit agreement enrichment integration | Alternatives — loans / private credit | Structured credit agreement term data applied to operational loan records | Manual legal document look-up eliminated for standard operational queries |
| Nuvo Prime | Prime services technology | Prime swaps integration | Derivatives — equity swaps | Integrated equity swap and prime services workflow automation | Task automation and scalability improvements across prime swaps operations |
| BNY Mellon | Global custodian | Universal FX platform integration | Securities — cross-currency | T+1 settlement FX funding automation | Cross-currency T+1 settlement funded efficiently within compressed settlement window |
Consulting and Implementation Partners
Consulting and implementation partners represent a strategically important category in the AccessFintech partner ecosystem. These firms — global management consulting organizations and specialist financial services technology consultancies — engage with AccessFintech not as technology platform operators but as delivery agents for the institutional transformation programmes through which large financial institutions adopt and integrate the Synergy platform.
The rationale for consulting partnerships in the Synergy ecosystem is grounded in the operational reality of technology adoption within Tier 1 financial institutions. Deploying a cross-institutional data and workflow platform at an institution that manages hundreds of thousands of daily settlement instructions, maintains legacy technology infrastructure across multiple business lines and jurisdictions, and operates under complex regulatory requirements is not a purely technical integration exercise. It is a change management challenge that requires engagement with operations leadership, compliance teams, technology architects, and business unit heads simultaneously — a scope that falls within the core competency of global management consulting firms.
Consulting Partners — Operational Role on the Synergy Ecosystem
- Implementation delivery: Global consulting firms engage with AccessFintech to design and deliver Synergy deployment programmes at major financial institutions, combining AccessFintech’s technical integration capabilities with the consulting firm’s change management methodology and institutional relationships
- Regulatory compliance programmes: AccessFintech’s regulatory capabilities — CSDR, T+1, EMIR, IBOR/ABOR — are frequently deployed as components of larger regulatory change programmes managed by consulting firms, where Synergy provides the technology infrastructure and the consulting partner delivers the programme management, operating model design, and stakeholder engagement
- Legacy modernization context: Financial institutions undergoing broader post-trade technology modernization — replacing legacy settlement systems, consolidating middle-office infrastructure, or migrating to cloud-based operations platforms — engage consulting firms to manage these programmes, with Synergy positioned as a component of the modernized target architecture
- Joint engineering solutions: AccessFintech and its consulting partners collaborate on joint engineering solutions that accelerate workflow adoption and change management, reducing the implementation timeline for Synergy deployments within complex institutional environments
- Faster workflow adoption: The combination of AccessFintech’s technology and consulting partner delivery capability reduces the time required for institutions to move from commercial agreement to live production deployment, addressing one of the primary barriers to enterprise software adoption in regulated financial institutions
Consulting Partners — Confirmed Engagements
| Partner | Engagement Type | Deployment Context |
|---|---|---|
| Capco | Implementation and change management | Post-trade transformation programmes at major financial institutions; confirmed joint client deployments with quote from Owen Jelf, Partner and Global Head of Capital Markets at Capco |
| Global management consulting firms (multiple) | Regulatory compliance programme delivery; legacy modernization | CSDR compliance programmes, T+1 readiness assessments, IBOR transition, post-trade technology transformation |
Capco — Confirmed Partnership Statement
Owen Jelf, Partner and Global Head of Capital Markets at Capco, confirmed the partnership value in the following terms: financial institutions are actively pursuing global transformation journeys, and by bridging the gap between legacy and modern systems, innovative solutions such as the Synergy Network accelerate those journeys. This statement reflects the core positioning of Synergy within consulting-led transformation programmes — as a modernization accelerator that enables institutions to achieve the operational benefits of a connected post-trade ecosystem without the full complexity and cost of legacy system replacement.
Consulting Partner Value Framework
| Dimension | AccessFintech Contribution | Consulting Partner Contribution |
|---|---|---|
| Technology | Synergy platform — data normalization, workflow, AI, network connectivity | Implementation methodology, system integration design, data migration |
| Regulatory expertise | Platform capabilities aligned to CSDR, T+1, EMIR, IBOR | Regulatory interpretation, compliance programme management, regulatory liaison |
| Change management | API-first design enabling rapid technical onboarding | Stakeholder engagement, operating model redesign, training and adoption |
| Client relationships | Network membership and institutional ecosystem | Existing relationships with transformation decision-makers at Tier 1 institutions |
| Delivery speed | Pre-built integrations reducing technical implementation time | Programme management accelerating organizational change alongside technology deployment |
Technology and Fintech Partners
Technology and fintech partners represent the most diverse and rapidly expanding category within the AccessFintech integration ecosystem. This category encompasses AI and machine learning vendors, data quality and reconciliation technology providers, communications and messaging platforms, and specialized fintech firms addressing specific operational functions within the post-trade lifecycle. These partners connect to the Synergy ecosystem through two primary mechanisms: the VendorLake framework, which enables technology providers to host their capabilities within the AFT Cloud infrastructure under a unified commercial and legal framework, and direct API integration, through which specialized data and workflow capabilities are connected to the Synergy data layer.
VendorLake Framework — Technical and Commercial Architecture
The VendorLake framework is AccessFintech’s mechanism for enabling third-party technology vendors to distribute their specialized capabilities to Synergy network members without requiring members to establish separate commercial relationships, legal agreements, and technical integrations with each vendor individually.
- Commercial model: Vendors operating within VendorLake access the entire Synergy network membership as a potential client base under the same commercial and legal framework already in place between network members and AccessFintech — eliminating the bilateral contract negotiation that would otherwise be required for each new vendor-client relationship
- Technical model: Vendors host their solutions as microservices within the AFT Cloud infrastructure, making their capabilities available as modular additions to the Synergy workflow without requiring separate platform deployments or system integrations on the client side
- Value proposition for vendors: Access to 250+ institutional client base without bilateral integration overhead; commercial framework pre-established; technical deployment within existing client infrastructure
- Value proposition for network members: Access to specialized vendor capabilities within the Synergy platform under an existing commercial framework; no additional integration projects required; vendor capabilities immediately available as extensions of existing Synergy workflows
- Vendor categories supported: AI and machine learning, reconciliation and matching, regulatory reporting, communications and messaging, data quality, workflow automation, and specialized post-trade processing tools
EZOps — AI-Powered Matching and Reconciliation Integration
- Integration type: Direct integration combining EZOps’s AI-powered data matching and reconciliation capabilities with Synergy’s exception management and workflow infrastructure
- Technical model: EZOps’s ARO (Automated Reconciliation and Operations) solution’s matching and reconciliation services are combined with Synergy’s exception management workflow and network collaboration capabilities through a direct API integration
- Scope: Enables fast, flexible, and asset-class agnostic matching schemas to identify exceptions across data sets and automatically initiate Synergy workflow and collaboration processes upon exception identification
- Operational outcomes delivered:
- AI-powered matching applied to exception identification across any asset class and data set, extending Synergy’s exception management capabilities with flexible matching logic
- Exception identification and workflow initiation automated end-to-end — from data comparison through exception escalation and collaborative resolution
- Matching schema flexibility enabling the solution to be applied to reconciliation use cases beyond the standardized schemas natively supported by Synergy
Symphony — Communications and Messaging Integration
- Integration type: Integration between Symphony’s secure financial services messaging platform and Synergy’s collaborative workflow capabilities
- Technical model: Symphony’s secure messaging infrastructure connected to Synergy’s exception management and workflow layer, enabling Synergy exception notifications and workflow actions to be delivered and actioned within Symphony’s messaging environment
- Scope: Enables institutions using Symphony as their primary financial services communication platform to receive Synergy exception alerts and engage in structured exception resolution workflows within their existing communications infrastructure
- Operational outcomes delivered:
- Exception resolution workflows accessible within Symphony’s messaging environment without platform switching
- Synergy’s structured collaborative workflow capabilities embedded within a widely adopted financial services communications platform
Saphyre — Pre-Trade and Post-Trade Data Integration
- Integration type: Confirmed partnership connecting Saphyre’s pre-trade account and standing settlement instruction (SSI) data management capabilities with Synergy’s post-trade workflow infrastructure
- Technical model: Data connectivity between Saphyre’s pre-trade data platform and Synergy’s normalization and workflow layer
- Scope: Connects pre-trade account and SSI data maintained in Saphyre’s platform to Synergy’s post-trade exception management workflows, enabling pre-trade data quality issues — incorrect SSIs, incomplete account setups — to be identified and resolved before they generate settlement fails
- Operational outcomes delivered:
- SSI data quality issues surfaced before settlement instructions are submitted, reducing the volume of settlement fails caused by incorrect standing settlement instructions
- Pre-trade and post-trade data workflows connected within a single operational intelligence layer
Technology and Fintech Partners — Full Reference Table
| Partner | Category | Integration Mechanism | Core Function | Operational Outcome |
|---|---|---|---|---|
| EZOps | AI / data reconciliation | Direct API integration | AI-powered asset-class agnostic matching and exception identification | Flexible matching schemas applied to exception identification; Synergy workflow initiated automatically |
| Symphony | Communications / messaging | Platform integration | Secure financial messaging connected to Synergy exception workflow | Exception resolution within Symphony messaging environment; no platform switching |
| Saphyre | Pre-trade data management | Data connectivity | SSI and account data quality management connected to post-trade workflow | SSI errors identified before settlement instruction submission; settlement fail prevention |
Integration Ecosystem — Consolidated Master Reference Table
| Partner | Category | Integration Type | Asset Class Scope | Primary Function | Confirmed Status |
|---|---|---|---|---|---|
| BlackRock (Aladdin) | OMS / investment management | Strategic bilateral connectivity | All asset classes | Buy-side post-trade workflow and connectivity | Confirmed — announced November 2025 with strategic capital investment |
| SimCorp | OMS / investment management | Asset Service Hub cloud integration | Securities, multi-asset | Data aggregation for buy-side within SimCorp environment | Confirmed — live integration |
| Broadridge | Post-trade technology | Strategic Gateway for Settlement Workflow | Securities | Multi-party settlement fail resolution | Confirmed — live joint solution |
| S&P Global Market Intelligence | Post-trade technology / market data | Securities processing integration | Securities | T+1-aligned settlement management automation | Confirmed — announced February 2025 |
| SIX Group | Market data / CSD | CSDR data partnership | Securities | CSDR eligibility, pricing, and penalty data | Confirmed — live data feed |
| MarketAxess | Trading / post-trade | Repo connectivity | Securities — repos | T+0 repo affirmation, confirmation, matching | Confirmed — live integration |
| Finastra (Fusion LenderComm) | Loan platform | Loan market data integration | Alternatives — loans | Agent-to-lender data digitization | Confirmed — live integration |
| Wilmington Trust | Third-party agent | Private Credit deployment | Alternatives — private credit | Private credit lifecycle management | Confirmed — live production deployment |
| N21 | Loan administration | Credit agreement enrichment | Alternatives — loans / private credit | Structured credit agreement data enrichment | Confirmed — live integration |
| Nuvo Prime | Prime services technology | Prime swaps integration | Derivatives — equity swaps | Prime swaps workflow automation | Confirmed — announced June 2025 |
| BNY Mellon | Global custodian | Universal FX integration | Securities — cross-currency | T+1 FX settlement funding | Confirmed — live integration; Series C investor |
| J.P. Morgan | Broker-dealer | Settlement Netting participant | Securities — fixed income / repos | Settlement Netting launch participant | Confirmed — live — announced April 2025 |
| Citi | Broker-dealer | Settlement Netting participant | Securities — fixed income / repos | Settlement Netting launch participant | Confirmed — live — announced April 2025 |
| EZOps | AI / reconciliation fintech | Direct API integration | All asset classes | AI-powered matching and exception identification | Confirmed — live integration |
| Symphony | Communications / messaging | Platform integration | All asset classes | Secure messaging connected to exception workflow | Confirmed — live integration |
| Saphyre | Pre-trade data management | Data connectivity | Securities | SSI and account data quality management | Confirmed — live integration |
| Capco | Consulting / implementation | Delivery partnership | All asset classes | Post-trade transformation programme delivery | Confirmed — active partnership |
Integration Ecosystem — Coverage Summary by Function
| Functional Area | Confirmed Integration Coverage |
|---|---|
| Buy-side OMS connectivity | BlackRock Aladdin, SimCorp |
| Sell-side post-trade technology | Broadridge, S&P Global Market Intelligence |
| Market data and reference data | SIX Group, S&P Global Market Intelligence, N21 |
| Repo and fixed income market infrastructure | MarketAxess, J.P. Morgan (Settlement Netting), Citi (Settlement Netting) |
| Loan and private markets | Finastra Fusion LenderComm, Wilmington Trust, N21 |
| Derivatives and prime services | Nuvo Prime, BNY Mellon (FX) |
| AI and data quality technology | EZOps, AccessIQ (native) |
| Communications and messaging | Symphony |
| Pre-trade data management | Saphyre |
| Consulting and implementation | Capco, global management consulting firms |
Proven Operational Outcomes and Performance Benchmarks
Quantified operational outcomes represent the most commercially significant dimension of any enterprise software evaluation in regulated financial markets. Capital markets institutions considering post-trade infrastructure investments operate under rigorous cost-benefit frameworks that require documented, verifiable evidence of operational improvement — measured in specific metrics such as fail rates, exception resolution throughput, reconciliation time, penalty costs, and capital efficiency gains — before committing to platform adoption at institutional scale.
The performance benchmarks documented in this section are drawn exclusively from confirmed, publicly attributable sources: AccessFintech’s own published platform statistics, press releases from confirmed partner deployments, industry publications reporting on documented institutional outcomes, and investor communications. No projected or estimated outcomes are included. Each data point is presented with its source context to enable independent verification.
The documented outcomes span three measurement categories: quantified platform performance metrics reflecting the scale and operational scope of the Synergy network, client outcome statistics reflecting measured improvements at specific institutions following Synergy deployment, and capital and liquidity efficiency outcomes reflecting the financial impact of post-trade operational improvements on institutional balance sheets and funding requirements.
Quantified Platform Performance
Platform performance metrics reflect the operational scale at which the Synergy network currently operates and the proportion of global capital markets activity that flows through its infrastructure. These metrics are significant for two reasons: they establish the empirical basis for the network effect claims that underpin AccessFintech’s commercial proposition, and they provide institutional evaluators with quantitative evidence of the platform’s capacity to handle institutional-grade transaction volumes without operational degradation.
Synergy Network — Core Platform Performance Metrics
| Metric | Verified Value | Metric Context |
|---|---|---|
| Active network members | 250+ institutions | Buy-side, sell-side, custodians, market infrastructure, and technology providers |
| Daily transactions processed | 50M+ transactions per day | Across all asset classes — Securities, Derivatives, Alternatives, Payments |
| Events processed per day | 2.5B+ events per day | All lifecycle events — trade capture, status updates, exception flags, workflow actions, data enrichments |
| Monthly transaction volume | 1B+ transactions per month | Contributed by 250+ member institutions across all connected asset classes |
| Global market trade volume share | Over 75% | Proportion of global market trade volume flowing through the Synergy platform |
| Total capital raised | $97M+ | Cumulative across Series A, Series B ($20M), Series C ($60M), and BlackRock strategic investment |
| Series C funding round | $60M | Led by WestCap; participated by BNY Mellon, Bank of America, Goldman Sachs, J.P. Morgan, Citi, Dawn Capital, BNP Paribas |
| Strategic investors | 7 Tier 1 financial institutions | BNY Mellon, Bank of America, Goldman Sachs, J.P. Morgan, Citi, BNP Paribas, BlackRock |
| Years in operation | Founded 2016 | Live network operations since 2016; continuous network member growth |
Platform Scale — Operational Context
The platform performance metrics above require contextual interpretation to understand their operational significance for institutional evaluators:
- 50M+ daily transactions processed across the network reflects a volume that is operationally representative of Tier 1 institutional scale — equivalent to the combined daily settlement instruction volumes of multiple major broker-dealers operating simultaneously on a single shared infrastructure
- 2.5B+ events per day reflects the granularity at which Synergy tracks post-trade lifecycle activity — not merely at the transaction level but at the individual event level, capturing every status change, data update, exception flag, workflow action, and communication event across every transaction in the network
- Over 75% of global market trade volume flowing through the platform is the single most operationally significant scale metric, as it establishes that Synergy has achieved the critical mass of market participation necessary for its network effects to function — meaning that for most institutions joining the network, a substantial majority of their counterparty ecosystem is already connected
- 250+ active member institutions across buy-side, sell-side, custodians, and market infrastructure establishes that the network spans all four primary participant categories in the post-trade transaction chain, enabling end-to-end visibility from trade execution through settlement confirmation without gaps in counterparty coverage
- $97M+ in cumulative funding from Tier 1 institutional investors is operationally significant because the investors — BNY Mellon, J.P. Morgan, Citi, Goldman Sachs, Bank of America, BNP Paribas, and BlackRock — are simultaneously clients and strategic partners of the platform, reflecting an institutional validation of Synergy’s operational value that goes beyond commercial endorsement
Network Growth Trajectory — Key Milestones
| Period | Milestone |
|---|---|
| 2016 | AccessFintech founded by Roy Saadon and Steve Fazio |
| 2018 | Series A funding — initial institutional capital raised |
| 2020 | Series B — $20M raised; network expanded to securities and early derivatives coverage |
| 2022 | Series C — $60M raised led by WestCap; network expanded to 100+ participants; derivatives and syndicated loan coverage added; predictive fails service launched |
| 2022 | BNP Paribas Securities Services joined Series C as additional strategic investor |
| 2023 | Network continued expansion across all three asset class networks |
| 2024 | US, Canada, Mexico T+1 implementation — Synergy T+1 readiness capabilities live |
| February 2025 | S&P Global Market Intelligence securities processing integration announced |
| April 2025 | Settlement Netting launched — J.P. Morgan and Citi as founding participants |
| June 2025 | Nuvo Prime prime swaps integration announced |
| July 2025 | Sarah Shenton appointed Chief Executive Officer |
| November 2025 | BlackRock and AccessFintech strategic partnership announced — Aladdin bilateral connectivity; BlackRock strategic capital investment |
| Ongoing | Network membership expanding toward and beyond 250 active institutions |
Platform Performance — Comparative Context
| Dimension | Industry Baseline | Synergy Platform Performance |
|---|---|---|
| Manual exception intervention rate | 5% of all trade exceptions require manual intervention industry-wide | AI-driven exception detection and structured workflow targeting reduction of manual intervention across the 5% exception population |
| Settlement fail resolution channel | Manual — email, phone, bilateral chat between multiple counterparties | Structured collaborative workflow on shared platform — replacing all manual communication channels |
| Bilateral integration timeline | Months to years per counterparty connection through legacy integration methods | Weeks per connection through API-first architecture and pre-built standardized schemas |
| CSDR penalty validation throughput | Manual processing — limited by analyst capacity | 1,000 penalties validated per day at one institution (vs. 10 per day pre-Synergy) |
| Penalty reconciliation time | Multiple days per reconciliation cycle at one tier-one bank | 30 minutes per reconciliation cycle post-Synergy deployment |
| Post-trade data format compatibility | Custom bilateral data transformation required for each counterparty pair | Universal format acceptance — JSON, XML, CSV, delimited text normalized automatically |
Client Outcome Statistics
Client outcome statistics represent the most commercially compelling dimension of the Synergy platform’s documented performance record. Unlike platform-level metrics — which measure the scale and capacity of the network — client outcome statistics measure the specific, quantified operational improvements achieved at individual institutions following Synergy deployment. These statistics are drawn from confirmed, publicly reported sources and reflect real production deployments rather than proof-of-concept or pilot environments.
Documented Client Outcomes — Primary Statistics
| Outcome | Metric | Pre-Synergy | Post-Synergy | Improvement | Source |
|---|---|---|---|---|---|
| CSDR penalty validation throughput | Penalties validated per day | 10 | 1,000 | 100x increase | Global Custodian — confirmed institutional client |
| Penalty reconciliation time | Time per reconciliation cycle | Multiple days | 30 minutes | Multiple days reduced to 30 minutes | Global Custodian — tier-one bank deployment |
| Settlement fail resolution channel | Communication method | Manual — email, phone, bilateral chat | Structured collaborative platform workflow | Unstructured communication eliminated | Broadridge partnership documentation |
| Bilateral integration timeline | Time to connect new counterparty | Months to years | Weeks | Integration timeline reduced by orders of magnitude | Broadridge Q&A — Broadridge Head of Capital Markets |
| Loan data discrepancies | Resolution time for agent-lender discrepancies | Extended — manual bilateral investigation | Significantly reduced | Material reduction confirmed | Wilmington Trust deployment announcement |
| Cash breaks — private credit | P&I payment cash break frequency | Ongoing — systematic | Prevented through pre-payment matching | Cash break prevention | Wilmington Trust deployment announcement |
| Agent-lender communication | Communication channel for loan lifecycle events | Unstructured email, fax, telephone | Structured multi-party digital workflow | Manual communication channels eliminated | Finastra / Wilmington Trust deployment documentation |
CSDR Outcome — Detailed Analysis
The CSDR penalty validation outcome — from 10 penalties validated per day to 1,000 penalties validated per day at one institution — is the most precisely quantified client outcome in the documented Synergy performance record and warrants detailed examination of what it measures and why it is operationally significant.
What the metric measures:
CSDR cash penalty validation is the process of verifying that penalty charges issued by CSDs are accurate — confirming that the instrument is correctly classified as CSDR-eligible, that the penalty rate applied corresponds to the correct instrument type, that the market value used for penalty calculation is accurate, and that the penalty has been allocated to the correct counterparty. Each validation step requires cross-referencing multiple data sources — CSD eligibility data, market pricing data, settlement instruction records, and counterparty allocation data — that were previously maintained in separate, manually accessed systems.
Why the improvement is operationally significant:
- At 10 validations per day under the manual process, an institution processing hundreds or thousands of CSDR-eligible settlement fails per settlement cycle accumulates a substantial backlog of unvalidated penalties — penalties that may be incorrect, incorrectly allocated, or incorrectly calculated, but that cannot be identified, disputed, or recovered without the validation process being completed
- At 1,000 validations per day under Synergy, the same institution can validate its full daily penalty population within the settlement cycle, enabling same-day identification of incorrect penalties, same-day dispute initiation with CSDs, and full recovery of overpaid or incorrectly charged penalties
- The financial value of this improvement is directly proportional to the institution’s CSDR penalty exposure — for institutions with significant European settlement activity, the difference between 10 and 1,000 daily validations translates directly into recovered penalties, reduced penalty backlogs, and improved accuracy in penalty cost reporting to management and regulators
Penalty Reconciliation Time Outcome — Detailed Analysis
The reduction in penalty reconciliation time from multiple days to 30 minutes at one tier-one bank represents a qualitatively different type of operational improvement from the throughput increase — it measures the latency of the reconciliation process rather than its capacity.
Operational significance of the latency reduction:
- Penalty reconciliation at a tier-one bank involves matching penalty charges from multiple CSD sources against internal settlement records, counterparty records, and historical position data — a process that previously required multiple days because each data source had to be manually extracted, formatted, and compared in sequence
- A multiple-day reconciliation cycle means that penalty discrepancies identified on any given day cannot be acted upon until the reconciliation for that day is complete — by which time CSD dispute windows may have closed or penalty interest may have accrued
- A 30-minute reconciliation cycle means that penalty discrepancies are identified and escalated within the same business day they arise, preserving the full dispute window and enabling same-day action on all identified discrepancies
- For a tier-one bank with significant European settlement activity, the difference between same-day and multi-day reconciliation represents a material improvement in penalty dispute recovery rates and a corresponding reduction in net penalty costs
Settlement Netting — J.P. Morgan and Citi Deployment
The April 2025 launch of Settlement Netting with J.P. Morgan and Citi as founding participants represents a confirmed institutional deployment of one of Synergy’s most recently launched product modules. While specific quantitative outcome metrics for this deployment have not been publicly disclosed, the operational framework of settlement netting provides a basis for understanding the category of improvements the module targets:
- Gross settlement instruction reduction: Settlement netting reduces the number of individual settlement instructions that must be funded and processed by calculating net obligations across offsetting positions — a function that directly reduces the operational workload of settlement teams and the funding requirements of treasury desks
- Liquidity optimization: By reducing gross settlement obligations across repos, TBAs, and fixed income instruments, netting allows institutions to deploy the capital that would otherwise be consumed by gross settlement funding into revenue-generating activities
- Custodian instruction volume reduction: API dispatch of netted instructions directly to custodians reduces the volume of instructions that custodians must process on behalf of their clients, improving the overall efficiency of the settlement chain from instruction submission through confirmation
Wilmington Trust Private Credit Deployment — Confirmed Outcomes
The Wilmington Trust deployment of the Private Credit Lifecycle Management module represents the most comprehensively documented alternative asset class outcome in the confirmed Synergy performance record:
| Outcome Category | Confirmed Result |
|---|---|
| Data transparency | Real-time data transparency achieved across agents, lenders, and service providers within a single governed platform |
| Discrepancy resolution | Significant reduction in data discrepancies and resolution times across the full loan lifecycle |
| Data comparison | Lenders enabled to compare normalized data sets directly against agent records in real time |
| Cash break prevention | P&I payment cash breaks prevented through systematic pre-payment matching |
| Resolution acceleration | Payment discrepancy resolution process accelerated through structured collaborative workflow |
Client Outcome Statistics — Cross-Asset Summary
| Asset Class | Deployment | Outcome Category | Confirmed Result |
|---|---|---|---|
| Securities — CSDR | Unnamed institutional client | Penalty validation throughput | 10 → 1,000 penalties validated per day (100x improvement) |
| Securities — CSDR | Tier-one bank | Penalty reconciliation time | Multiple days → 30 minutes |
| Securities — Settlement Netting | J.P. Morgan, Citi | Gross settlement obligation reduction | Live production deployment — fixed income and repo markets |
| Securities — T+1 | BNY Mellon, BlackRock, S&P Global | T+1 operational readiness | Live T+1-aligned workflows across confirmed institutional deployments |
| Alternatives — Private Credit | Wilmington Trust | Data transparency and cash break prevention | Real-time transparency achieved; cash breaks prevented; discrepancy resolution times reduced |
| Alternatives — Loans | Finastra (LenderComm clients) | Agent-lender communication digitization | Email and fax communication replaced by structured electronic data distribution |
| Derivatives — Prime Swaps | Nuvo Prime client base | Prime swaps operational efficiency | Task automation and scalability improvements confirmed |
| Multi-asset — Exception Management | Network-wide | Manual intervention reduction | Structured workflow replacing email, phone, and bilateral chat across all connected asset classes |
Capital and Liquidity Efficiency Outcomes
Capital and liquidity efficiency represents the highest-order financial impact of post-trade operational improvements — translating operational metrics such as fail rates, exception resolution times, and netting ratios into direct balance sheet and funding cost outcomes that are measurable in financial terms. For CFOs, treasury desks, and capital management functions evaluating post-trade infrastructure investments, capital and liquidity efficiency outcomes are the primary financial justification for platform adoption expenditure.
The Synergy platform generates capital and liquidity efficiency improvements through four primary operational mechanisms: fail compression reducing the balance sheet drag of unsettled positions, penalty avoidance reducing the direct financial cost of CSDR and TMPG penalty charges, settlement netting reducing the gross funding requirements of settlement obligations, and pre-matching reducing the volume of settlement fails before they generate capital consumption events.
Capital and Liquidity Efficiency — Primary Mechanisms
Mechanism 1: Fail Compression
Settlement fails consume balance sheet capital in two ways: the unsettled position remains on the balance sheet of the delivering institution as an asset that has not yet been exchanged for cash, consuming capital that could otherwise be deployed; and the receiving institution cannot deploy the expected cash or securities because receipt has not occurred, creating a liquidity shortfall. Fail compression — reducing the rate and duration of settlement fails through pre-matching automation, structured collaborative resolution workflows, and predictive fail identification — directly reduces both forms of capital consumption.
| Fail Compression Mechanism | Platform Capability | Capital Efficiency Outcome |
|---|---|---|
| Pre-matching exception identification | Settlements Management — pre-matching insights | Exceptions resolved before settlement deadline; fail prevented before it consumes capital |
| Real-time T+0 visibility | Settlements Management — T+0 cross-counterparty status | At-risk trades identified and escalated within T+0 window; resolution initiated before settlement fails |
| Predictive fail forecasting | AccessIQ — ML settlement fail prediction | Trades at risk of failing identified before settlement date; proactive intervention replaces reactive recovery |
| Structured resolution workflow | Cross-counterparty collaborative workflow | Resolution timeline compressed; duration of capital-consuming fails reduced |
| T+1 pre-matching automation | Settlements Management — automated instruction-allegement pairing | Affirmation rate improved; fail rate on T+1 settlement dates reduced |
Mechanism 2: Penalty Cost Avoidance
CSDR cash penalties, TMPG fails charges, and related regulatory penalty frameworks represent direct financial costs that arise when settlement fails occur on eligible instruments. These penalties are not recoverable operating costs — they are pure financial losses that reduce institutional profitability in direct proportion to the settlement fail rate on CSDR and TMPG-eligible positions. Penalty cost avoidance through fail compression and penalty management automation directly improves institutional financial performance.
| Penalty Avoidance Mechanism | Platform Capability | Financial Outcome |
|---|---|---|
| Fail prevention through pre-matching | Settlements Management — pre-matching and fail compression | Penalties prevented by eliminating the settlement fails that generate them |
| Same-day penalty identification | Claims Management — SIX Group data integration | Penalties identified within the same business day they are charged |
| Penalty dispute recovery | Claims Management — validated penalty dispute workflow | Incorrectly calculated or attributed penalties identified and disputed within CSD dispute windows |
| CSDR reconciliation accuracy | SIX Group eligibility data — automated penalty calculation | Overpaid penalties identified through accurate reconciliation; recovery initiated |
| TMPG fails charge management | Claims Management — TMPG module | US Treasury fails charges tracked and managed within TMPG dispute timelines |
Mechanism 3: Settlement Netting — Funding Requirement Reduction
Settlement netting reduces the gross funding requirements that institutions must meet on each settlement date by calculating net obligations across offsetting positions before settlement instructions are submitted. This mechanism directly reduces the amount of cash and securities that institutions must source and deliver on any given settlement date, freeing capital that would otherwise be consumed by gross settlement funding.
| Netting Mechanism | Instruments Covered | Funding Efficiency Outcome |
|---|---|---|
| Repo pairoffs | Repo market — all terms and counterparties | Gross repo settlement obligations netted; funding requirements reduced |
| TBA pairoffs | TBA mortgage-backed securities | Gross TBA settlement obligations netted; funding requirements reduced |
| Bilateral netting | Fixed income — all instrument types | Net obligations calculated across all bilateral positions; gross instruction volume reduced |
| CCP connect | Cleared securities and derivatives | Cleared and bilateral netting positions consolidated; total funding requirements optimized |
| Cross-asset payment netting | OTC derivatives, securities, loans | Payment obligations across asset classes netted where bilateral netting agreements permit; gross payment volumes reduced |
Mechanism 4: Liquidity Utilization Improvement
Beyond direct fail compression and penalty avoidance, the Synergy platform improves liquidity utilization through its data-driven insights capabilities — enabling institutions to identify inefficiencies in their settlement and funding workflows that consume liquidity unnecessarily and to optimize their operational processes accordingly.
| Liquidity Utilization Mechanism | Platform Capability | Liquidity Outcome |
|---|---|---|
| Real-time inventory visibility | Inventory Management — real-time positions | Accurate intraday position visibility enabling optimized securities borrowing and lending decisions |
| Depot re-alignment | Inventory Management — depot re-alignment workflow | Securities in incorrect custody locations identified and re-aligned before settlement deadlines; fails prevented |
| Pre-clearing obligation reduction | Treasury Clearing — pre-clearing netting | Gross Treasury clearing obligations reduced through pre-clearing netting; CCP margin requirements optimized |
| Settlement fail forecasting | AccessIQ — ML fail prediction | Anticipated fails identified in advance enabling proactive borrowing or buying-in decisions before fail materializes |
| Cross-custodian position synchronization | Inventory Management — real-time cross-custodian view | Securities available for delivery confirmed across all custodians simultaneously; unnecessary fails prevented |
Capital and Liquidity Efficiency — Investor Validation
The capital and liquidity efficiency outcomes documented above are validated not only by client deployment data but by the composition of AccessFintech’s investor base — which consists almost entirely of institutions that are simultaneously post-trade market participants and direct beneficiaries of the capital efficiency improvements the platform delivers.
| Investor | Institution Type | Capital Efficiency Relevance |
|---|---|---|
| BNY Mellon | Global custodian | Settlement efficiency directly impacts custody service quality and client capital management |
| J.P. Morgan | Broker-dealer / investment bank | Settlement fail costs and penalty exposure are material financial items at institutional scale |
| Citi | Broker-dealer / investment bank | CSDR penalty management and fail compression directly reduce operational cost base |
| Goldman Sachs | Broker-dealer / investment bank | Post-trade efficiency improvements directly impact trading desk capital efficiency |
| Bank of America | Broker-dealer / investment bank | Settlement netting and fail compression reduce funding requirements across fixed income operations |
| BNP Paribas Securities Services | Securities services / custodian | Post-trade data quality directly impacts custody service delivery and regulatory compliance |
| BlackRock | Asset manager | Settlement efficiency directly impacts investment performance through reduced opportunity cost of unsettled positions |
| WestCap | Growth equity | Platform economics of network-effect infrastructure validated by institutional investor base quality |
The fact that seven of the world’s largest financial institutions — each of which operates post-trade infrastructure at a scale where settlement efficiency has direct and measurable financial impact — have committed strategic capital to AccessFintech constitutes an independently verifiable form of institutional validation for the capital and liquidity efficiency outcomes the platform claims to deliver.
Proven Operational Outcomes — Consolidated Master Reference
| Outcome Category | Metric | Verified Value | Source Category |
|---|---|---|---|
| Network scale | Active member institutions | 250+ | AccessFintech platform data |
| Network scale | Daily transactions processed | 50M+ | AccessFintech platform data |
| Network scale | Events processed per day | 2.5B+ | AccessFintech platform data |
| Network scale | Monthly transaction volume | 1B+ | BlackRock partnership press release |
| Network scale | Global market volume share | Over 75% | S&P Global partnership press release |
| CSDR operations | Penalty validations per day — post-Synergy | 1,000 (vs. 10 pre-Synergy) | Global Custodian publication |
| CSDR operations | Penalty reconciliation time — post-Synergy | 30 minutes (vs. multiple days pre-Synergy) | Global Custodian publication |
| Integration efficiency | Time to connect new counterparty — post-Synergy | Weeks (vs. months to years pre-Synergy) | Broadridge partnership documentation |
| Private credit | Data transparency outcome | Real-time transparency achieved across all parties | Wilmington Trust deployment announcement |
| Private credit | Cash break prevention | P&I payment cash breaks prevented through pre-payment matching | Wilmington Trust deployment announcement |
| Funding | Total capital raised | $97M+ | Business Wire — Series C announcement |
| Funding | Strategic institutional investors | 7 Tier 1 financial institutions | Multiple confirmed press releases |
| Settlement netting | Live fixed income netting deployment | J.P. Morgan and Citi — live production | April 2025 press release |
| Industry baseline | Manual exception intervention rate | 5% of all trade exceptions industry-wide | S&P Global partnership press release |
Funding, Investors and Company Background
AccessFintech’s funding history, investor composition, and leadership profile are operationally relevant data points for institutional evaluators conducting vendor due diligence on post-trade infrastructure investments. In regulated financial markets, the financial stability, strategic backing, and leadership credentials of a technology platform provider directly affect the risk assessment of a long-term infrastructure commitment. A platform processing over 75% of global market trade volume and connecting 250+ institutional participants requires a vendor with sufficient capital resources, strategic alignment with market participants, and leadership depth to sustain continuous product development, regulatory adaptation, and network expansion at institutional scale.
The following sections document AccessFintech’s founding history, complete funding round record, strategic investor identities and roles, and current leadership team — drawn exclusively from confirmed, publicly attributable sources including press releases, investor announcements, and company disclosures.
Company History and Founding
AccessFintech was founded in 2016 by Roy Saadon and Steve Fazio — two financial technology executives with direct operational experience in capital markets post-trade infrastructure. The founding thesis was grounded in a specific and well-documented market failure: the structural inability of financial institutions to share trade lifecycle data across counterparty boundaries in a governed, secure, and operationally useful manner — a failure that generated persistent settlement inefficiencies, regulatory compliance gaps, and capital waste across the global post-trade ecosystem.
The company was established with offices in New York, London, and Tel Aviv — a geographic configuration that reflects the three primary centres of its founding team’s capital markets expertise and its target market’s institutional concentration. From its founding, AccessFintech positioned itself not as a point solution targeting a single post-trade function, but as a network-layer infrastructure provider — a strategic positioning that required building a critical mass of institutional participants before the platform’s network effects could deliver their full operational value.
The early development phase focused on the securities settlement market — the highest-volume and most operationally standardized segment of the post-trade landscape — before expanding into derivatives, syndicated loans, and private credit as the network’s participant base and data normalization capabilities matured. This phased expansion strategy is reflected in the company’s funding history, with each capital raise corresponding to a defined expansion of asset class coverage and network membership.
Company History — Key Milestones Timeline
| Year | Milestone | Operational Significance |
|---|---|---|
| 2016 | AccessFintech founded by Roy Saadon and Steve Fazio | Company established with offices in New York, London, and Tel Aviv |
| 2018 | Series A funding completed | Initial institutional capital secured; network development phase initiated |
| 2018 | Initial network operations commenced | First institutional participants connected to early Synergy network infrastructure |
| 2019 | BNY Mellon partnership established | First confirmed Tier 1 custodian partnership; machine learning and AI operational efficiency collaboration |
| 2020 | Series B — $20M raised | Network expansion funded; securities coverage deepened; early derivatives coverage initiated |
| 2021 | Broadridge Strategic Gateway partnership announced | First major post-trade technology platform integration; multi-party settlement fail resolution solution launched |
| 2021 | Symphony messaging integration confirmed | Financial services communications platform connected to Synergy exception workflow |
| 2022 | Series C — $60M raised | Largest funding round to date; network expanded to 100+ participants; derivatives and syndicated loan coverage added |
| 2022 | BNP Paribas Securities Services joined as additional Series C investor | European securities services strategic investor confirmed |
| 2022 | Predictive fails service launched | ML-based settlement fail forecasting capability added to platform |
| 2023 | SimCorp Asset Service Hub integration confirmed | Buy-side OMS connectivity expanded through SimCorp partnership |
| 2024 | US, Canada, Mexico T+1 implementation | Synergy T+1 readiness capabilities deployed for live T+1 markets |
| February 2025 | S&P Global Market Intelligence integration announced | Securities processing platform integration for T+1-aligned settlement management |
| April 2025 | Settlement Netting launched | Fixed income netting capability live with J.P. Morgan and Citi as founding participants |
| June 2025 | Nuvo Prime prime swaps integration announced | Derivatives network expanded with prime swaps lifecycle management capability |
| July 2025 | Sarah Shenton appointed Chief Executive Officer | Leadership transition — longtime board member and Goldman Sachs Alternative Assets veteran assumes CEO role |
| November 2025 | BlackRock and AccessFintech strategic partnership announced | Most significant OMS integration in Synergy history; Aladdin bilateral connectivity confirmed; BlackRock strategic capital investment completed |
| Ongoing | Network membership expanding beyond 250 active institutions | Continuous participant onboarding across all four primary participant categories |
Founding Context — Market Problem at Inception
The operational environment that motivated AccessFintech’s founding in 2016 was characterized by the following structural conditions — conditions that remain partially present in the market today and that define the continuing commercial rationale for the Synergy network:
- Post-trade operations across global capital markets were conducted through fragmented bilateral data channels — email, phone, and bespoke bilateral system integrations — with no shared infrastructure for cross-counterparty data visibility or exception resolution
- Settlement fails were managed reactively, after instructions had already failed, through manual processes that could not operate at the speed or scale required by high-volume institutional trading
- The cost of connecting to counterparty systems was measured in months or years of integration work per connection, creating a structural barrier to the operational improvement that cross-institutional data sharing could theoretically deliver
- Regulatory frameworks including CSDR — then in development — were creating new compliance obligations that required precisely the kind of cross-institutional data sharing and penalty management infrastructure that did not yet exist in the market
- The rapid growth of derivatives and alternative asset classes was creating new categories of post-trade operational complexity for which no standardized shared infrastructure existed
- Financial institutions recognized that the operational challenges they faced were shared across the industry but were unable to address them collaboratively because no trusted, governed, neutral infrastructure existed to facilitate cross-institutional data sharing without compromising proprietary data
AccessFintech was founded to provide that infrastructure — positioning itself explicitly as a neutral network-layer provider rather than a participant in the commercial relationships between the institutions it connects.
Funding Rounds and Strategic Investors
AccessFintech has completed four confirmed funding rounds since its founding in 2016, raising a total of $97 million in disclosed capital prior to the BlackRock strategic capital investment announced in November 2025. The investor composition across all rounds is notable for the concentration of Tier 1 financial institutions — the same institutions that constitute the platform’s primary client base — reflecting a strategic alignment between investor interest and platform adoption that is structurally unusual in enterprise software markets and particularly significant in the post-trade infrastructure segment.
Funding History — Complete Round Record
| Round | Amount | Date | Lead Investor | Strategic Participants | Use of Proceeds |
|---|---|---|---|---|---|
| Series A | Undisclosed | 2018 | Undisclosed | Undisclosed | Initial network development and institutional participant onboarding |
| Series B | $20M | 2020 | Undisclosed | Dawn Capital, J.P. Morgan, Goldman Sachs, Citi | Network expansion; securities coverage deepening; derivatives coverage initiation |
| Series C | $60M | September 2022 | WestCap | BNY Mellon, Bank of America, Dawn Capital, J.P. Morgan, Goldman Sachs, Citi Group | Accelerate growth; expand collaborative data management network to additional markets; product development |
| Series C extension | Undisclosed | October 2022 | — | BNP Paribas Securities Services | Additional strategic European securities services investor; client access to workflow and data tools for settlement cycle shortening |
| Strategic investment | Undisclosed | November 2025 | BlackRock | — | Product innovation, global expansion, deeper ecosystem integration; announced in conjunction with Aladdin bilateral connectivity partnership |
| Total disclosed capital | $97M+ | 2018–2025 | Multiple rounds | 7 Tier 1 financial institution investors | Network growth, product development, market expansion |
Series C — Detailed Round Analysis
The Series C round — completed in September 2022 at $60 million led by WestCap — represents the most significant financing event in AccessFintech’s history prior to the BlackRock strategic investment and warrants detailed examination of both its financial structure and its strategic implications.
Lead Investor — WestCap
- WestCap is a growth equity firm specializing in transformational software for capital markets
- Prior portfolio includes Ipreo, iLEVEL, BrokerTec, Tradeweb, and SIMON Markets — a track record specifically concentrated in capital markets data and infrastructure platforms
- Kevin Marcus, Partner at WestCap and former President of Ipreo, joined AccessFintech’s Board of Directors as part of the Series C investment
- WestCap’s sector specialization in capital markets software infrastructure provides AccessFintech with a lead investor whose portfolio experience directly informs the platform’s product and go-to-market strategy
Strategic Investors — Tier 1 Financial Institutions
- BNY Mellon: Global Head of Custody Caroline Butler joined AccessFintech’s Board of Directors as part of the BNY Mellon Series C investment — establishing custodian-level governance representation on the board
- Bank of America: First-time investor in the Series C round — expanding the strategic investor base to include one of the largest US broker-dealers and custodians
- J.P. Morgan: Continued participation from Series B — confirming sustained strategic commitment from one of the largest global broker-dealers and prime brokers
- Goldman Sachs: Continued participation from Series B — confirming strategic commitment from one of the primary sell-side users of the platform
- Citi Group: Continued participation from Series B — reflecting multi-round strategic commitment from a major global broker-dealer and settlement netting participant
- Dawn Capital: Continued participation from Series B — providing institutional venture capital continuity across the growth funding journey
BNP Paribas Securities Services — Series C Extension
BNP Paribas Securities Services joined the Series C round as an additional strategic investor following the initial September 2022 close — with the investment structured to enable BNP Paribas to provide its institutional and corporate clients with access to Synergy’s workflow and data tools for settlement cycle management. BNP Paribas is simultaneously one of the world’s largest securities services providers and a confirmed integration partner — its NeoLink client platform integrates more than 50 apps, fintech services, AI, and omnichannel connectivity, with AccessFintech among the confirmed integrations.
BlackRock Strategic Investment — November 2025
The BlackRock strategic capital investment — announced simultaneously with the Aladdin bilateral connectivity partnership in November 2025 — represents the most recent and strategically significant capital event in AccessFintech’s history. Unlike the Series C institutional investments — which were made by institutions primarily in their capacity as post-trade market participants and platform clients — the BlackRock investment reflects a strategic capital commitment from the world’s largest asset manager in its capacity as both a platform client and a distribution partner for Synergy’s capabilities across the Aladdin community.
Investment structure and strategic intent:
- The investment was described as designed to support AccessFintech’s next phase of growth including product innovation, global expansion, and deeper ecosystem integration
- The investment reflects a shared commitment between BlackRock and AccessFintech to a more connected, data-driven capital markets infrastructure — framed explicitly as an infrastructure investment rather than a financial return investment
- The commercial structure of the Aladdin-Synergy connectivity partnership — including revenue sharing arrangements, premium connectivity feature pricing, and the commercial terms governing data exchange between the two platforms — had not been fully publicly disclosed as of the partnership announcement
Operational context of the investment:
- BlackRock’s Head of Global Investment Operations, Michael Debevec, described the partnership as accelerating BlackRock’s strategy of integrating real-time data across the post-trade and asset servicing lifecycle — suggesting the Aladdin-Synergy integration was already operationally validated within BlackRock’s own operations before being extended to the wider Aladdin community
- The investment extends the pattern established by Series C institutional investors — Tier 1 institutions investing in AccessFintech because the platform’s operational value to their own businesses provides a direct financial rationale for strategic capital commitment, independent of financial return expectations
Strategic Investor Base — Institutional Profile Summary
| Investor | Institution Type | AUM / Scale | Synergy Relevance | Board Representation |
|---|---|---|---|---|
| WestCap | Growth equity — capital markets software | Portfolio: Ipreo, Tradeweb, BrokerTec | Lead Series C investor; capital markets software expertise | Kevin Marcus (Partner, WestCap; former President of Ipreo) |
| BNY Mellon | Global custodian / securities services | World’s largest custodian by AUA | Custody platform integration; T+1 FX settlement integration | Caroline Butler (Global Head of Custody, BNY Mellon) — Series C |
| Bank of America | Broker-dealer / investment bank / custodian | Top 5 global financial institution | Settlement operations and post-trade efficiency at institutional scale | Not publicly confirmed |
| J.P. Morgan | Broker-dealer / investment bank | Largest US bank by assets | Settlement Netting founding participant; post-trade efficiency | Not publicly confirmed |
| Goldman Sachs | Broker-dealer / investment bank | Major global broker-dealer | Post-trade operations efficiency across securities and derivatives | Not publicly confirmed |
| Citi Group | Broker-dealer / investment bank | Top 5 global financial institution | Settlement Netting founding participant; multi-round investor | Not publicly confirmed |
| BNP Paribas Securities Services | Securities services / custodian | One of Europe’s largest securities servicers | NeoLink platform integration; European post-trade operations | Not publicly confirmed |
| BlackRock | Asset manager | World’s largest asset manager — $10T+ AUM | Aladdin bilateral connectivity; buy-side post-trade workflow | Former board director Sarah Shenton (now CEO) — pre-investment board representation |
| Dawn Capital | Institutional venture capital | European technology venture | Multi-round financial investor | Not publicly confirmed |
Funding and Investor Base — Strategic Significance
The composition of AccessFintech’s investor base carries operational significance beyond its financial implications for three specific reasons that are relevant to institutional platform evaluators:
Reason 1 — Investor-as-Client alignment Every Tier 1 financial institution in the investor base is simultaneously a client or confirmed partner of the Synergy platform. This alignment creates a structural incentive for investors to support the platform’s continued development, network expansion, and regulatory adaptation — ensuring that the platform’s product roadmap is shaped by the operational requirements of the institutions that use it rather than by financial return optimization alone.
Reason 2 — Network critical mass validation The investment decisions of J.P. Morgan, Citi, Goldman Sachs, Bank of America, BNY Mellon, BNP Paribas, and BlackRock — each of which conducted independent operational due diligence before committing strategic capital — constitute seven separate institutional validations of the Synergy platform’s operational value. This validation is particularly credible because these institutions have direct operational experience of the post-trade efficiency problems the platform addresses and direct financial exposure to the settlement fails, CSDR penalties, and capital inefficiencies that the platform reduces.
Reason 3 — Governance continuity Board representation from WestCap (Kevin Marcus) and BNY Mellon (Caroline Butler, Series C) alongside the transition of Sarah Shenton from board member to CEO reflects a governance structure that maintains continuity of institutional perspective — ensuring that the platform’s strategic direction remains aligned with the operational requirements of its primary user base across leadership transitions.
Leadership and Governance
AccessFintech’s current leadership team combines capital markets operational expertise with financial technology product and engineering leadership. The team was substantially expanded and restructured in the first half of 2025, reflecting the company’s transition from a high-growth network development phase to a scaled institutional infrastructure provider phase requiring broader leadership depth across commercial, technical, and operational functions.
Leadership Team — Current Confirmed Roster
| Name | Title | Background | Relevance to Platform |
|---|---|---|---|
| Sarah Shenton | Chief Executive Officer | Over 20 years in operations, engineering, and strategic investing; led Value Accelerator platform at Goldman Sachs’ alternative assets business; former AccessFintech Board Director; led Goldman Sachs’ Series A investment in the company | Operational expertise in alternative assets and investment operations; institutional investor perspective on platform value; continuity of strategic direction from board to executive leadership |
| Steve Fazio | Co-Founder and Chief Solutions Officer | Extensive experience across technology and buy-side operations; co-founder since 2016 | Original platform architect; product vision and innovation strategy continuity from founding through current phase |
| Rami Kachlon | Chief Technology Officer | Proven track record delivering market infrastructure solutions with emphasis on stability and scalability | Platform architecture leadership; cloud-native infrastructure and microservices delivery |
| Tom Granelli | Chief Product Officer | Former DTCC Managing Director; extensive experience in capital markets, risk management, and financial technology product leadership | Post-trade product expertise at institutional scale; DTCC background directly relevant to settlement infrastructure product development |
| Steven Berns | Chief Financial Officer and Chief Operating Officer | Senior management experience across capital markets | Financial governance and operational management |
| Pardeep Cassells | Client Commercial Officer | Over 15 years experience including decade-long tenure at BNP Paribas; built and scaled client success organizations | Commercial relationships and client success leadership; BNP Paribas institutional background relevant to European securities services client base |
| Chris Daur | Head of Global Markets | Former Goldman Sachs Managing Director; over 23 years in financial services; deep expertise in post-trade strategy and client solutions | Global markets commercial leadership; post-trade strategy expertise from Goldman Sachs operational background |
| John Shay | Senior Advisor | Over 30 years of senior management experience across Virtu, Nasdaq, TP ICAP, Broadway Technology (now Bloomberg), and Acadia (now LSEG) | Capital markets market structure expertise; electronic trading and post-trade infrastructure perspective |
| Michael Radocchio | Head of Professional Services | Capital markets operations and technology implementation experience | Institutional deployment and professional services delivery leadership |
| Damian Canning | Head of Industry Relations | Capital markets industry engagement experience | Industry relations, partnership development, and market engagement |
Leadership Team — Institutional Background Summary
| Institution | Leadership Connection |
|---|---|
| Goldman Sachs | Sarah Shenton (CEO — Alternative Assets Value Accelerator); Chris Daur (Head of Global Markets — Managing Director) |
| DTCC | Tom Granelli (CPO — Managing Director) |
| BNP Paribas | Pardeep Cassells (Client Commercial Officer — decade-long tenure) |
| Nasdaq | John Shay (Senior Advisor — senior management) |
| TP ICAP | John Shay (Senior Advisor — senior management) |
| Bloomberg (Broadway Technology) | John Shay (Senior Advisor — Broadway Technology, now Bloomberg) |
| LSEG (Acadia) | John Shay (Senior Advisor — Acadia, now LSEG) |
| Virtu | John Shay (Senior Advisor — senior management) |
| AccessFintech (founding) | Steve Fazio (Co-Founder and Chief Solutions Officer — 2016 to present) |
CEO Transition — Sarah Shenton Appointment
The appointment of Sarah Shenton as Chief Executive Officer in July 2025 represents the most significant leadership development in AccessFintech’s recent history and warrants specific documentation for institutional evaluators assessing management continuity and strategic direction.
Pre-appointment background:
- Shenton served as a Board Director of AccessFintech from 2018 to 2025 — providing seven years of strategic oversight and institutional perspective before assuming the executive role
- During her board tenure, Shenton led Goldman Sachs’s Series A investment in AccessFintech — establishing her investment thesis on the platform’s strategic value before any of the subsequent Series B, Series C, or BlackRock investments were made
- At Goldman Sachs, Shenton led the Value Accelerator platform within Goldman Sachs’s alternative assets business — a role focused on driving scale, operational efficiency, and commercial success within Goldman Sachs’s alternatives investment infrastructure
Strategic context of the appointment:
- The appointment was described by AccessFintech as positioning the company for its next phase of product innovation and global growth — framing Shenton’s operational and investment background as specifically suited to scaling an institutional infrastructure platform from network development to global market standard
- The simultaneous announcement of the BlackRock strategic partnership and Shenton’s appointment in the second half of 2025 reflects a coordinated strategic repositioning — aligning executive leadership, strategic capital, and the most significant OMS integration in the platform’s history as components of a unified expansion strategy
Board of Directors — Confirmed Members
| Board Member | Representing | Background |
|---|---|---|
| Kevin Marcus | WestCap (Lead Series C investor) | Partner at WestCap; former President of Ipreo — capital markets data platform |
| Caroline Butler | BNY Mellon (Series C investor) | Global Head of Custody at BNY Mellon — appointed to board as part of Series C investment |
| Sarah Shenton | Executive (CEO) | Former board director — transitioned to CEO role July 2025 |
| Additional board members | Not publicly confirmed | Institutional investor representatives and independent directors |
Company Profile — Consolidated Reference Table
| Attribute | Detail |
|---|---|
| Legal name | AccessFintech |
| Ticker / stock exchange | Private — not publicly listed |
| Founded | 2016 |
| Headquarters | New York, USA |
| Additional offices | London, United Kingdom; Tel Aviv, Israel |
| Co-Founders | Roy Saadon (original CEO), Steve Fazio (Co-Founder, current Chief Solutions Officer) |
| Current CEO | Sarah Shenton (appointed July 2025) |
| Employee count | 51–200 |
| Total capital raised | $97M+ (disclosed) plus BlackRock strategic investment (undisclosed amount) |
| Funding rounds | Series A (2018), Series B — $20M (2020), Series C — $60M (September 2022), Series C extension — BNP Paribas (October 2022), BlackRock strategic investment (November 2025) |
| Lead Series C investor | WestCap |
| Tier 1 financial institution investors | BNY Mellon, Bank of America, Goldman Sachs, J.P. Morgan, Citi Group, BNP Paribas Securities Services, BlackRock |
| Platform name | Synergy |
| Platform classification | Cloud-native post-trade data and workflow collaboration network |
| Active network members | 250+ institutions |
| Global market volume share | Over 75% of global market trade volume |
| Asset class coverage | Securities, Derivatives, Alternatives, Payments |
| Primary market | Global capital markets — post-trade operations |
| Regulatory coverage | CSDR, T+1, EMIR, EMIR Refit, Dodd-Frank, TMPG, US Treasury mandatory clearing, IBOR/ABOR reconciliation |
AccessFintech vs. Alternative Post-Trade Platforms
Evaluating AccessFintech within the post-trade technology landscape requires a precise understanding of what category of solution the Synergy platform represents — because the competitive framing that applies to point-to-point post-trade processing systems does not apply to a network-layer infrastructure provider in the same way. AccessFintech does not compete directly with post-trade processing platforms such as Broadridge or SimCorp in the conventional sense. It operates as a complementary collaboration and intelligence layer that connects to those platforms, augments their capabilities, and delivers operational value that neither platform can generate in isolation.
This structural distinction — between a network-layer provider and a point solution — is the most important analytical frame for understanding AccessFintech’s competitive positioning, its partnership strategy, and the category of value it delivers relative to alternative approaches to post-trade operational improvement.
The following sections examine the competitive landscape in three dimensions: a structured overview of the platforms and infrastructure providers that operate in adjacent or overlapping spaces, a detailed analysis of the structural differentiators between the Synergy network model and point solution alternatives, and a practical examination of the implementation model that enables Synergy to connect to existing institutional infrastructure without system replacement.
Competitive Landscape — Analytical Framework
Before examining individual platforms, the following framework establishes the structural categories within which post-trade technology providers operate — and AccessFintech’s position relative to each:
| Platform Category | Primary Function | Relationship to AccessFintech |
|---|---|---|
| Network-layer collaboration platforms | Shared data and workflow infrastructure connecting multiple institutions | Direct category — AccessFintech operates in this space |
| Post-trade processing platforms | Trade processing, settlement instruction management, reconciliation | Complementary — Synergy adds collaboration layer to existing processing infrastructure |
| Market infrastructure providers | Clearing, settlement, custody at the infrastructure level | Foundational infrastructure — Synergy operates above this layer |
| OMS and investment management platforms | Portfolio management, order management, investment workflow | Integration partners — Synergy extends post-trade connectivity into OMS environments |
| Specialist post-trade point solutions | Single-function tools addressing specific post-trade workflows | Partially overlapping — Synergy delivers multi-function network capabilities that individual point solutions cannot replicate at network scale |
| Data and analytics providers | Reference data, pricing data, analytics for post-trade functions | Partially complementary — Synergy integrates with data providers rather than competing with them |
Competitive Landscape Overview
The following analysis examines each significant platform or infrastructure category in the post-trade space — documenting its primary function, its relationship to AccessFintech, the nature of any confirmed partnership or integration, and the structural distinction between what each platform delivers and what Synergy delivers.
Platform 1: DTCC (Depository Trust and Clearing Corporation)
| Dimension | Detail |
|---|---|
| Institution type | Market infrastructure — central counterparty, depository, and settlement utility |
| Primary function | Clearing, settlement, and custody services for US equity, fixed income, and derivatives markets; trade reporting infrastructure |
| Ownership | Industry-owned utility — owned by member financial institutions |
| Scale | Processes quadrillions of dollars in securities transactions annually; operates DTC, NSCC, FICC, and DTCC Data Repository |
| Regulatory role | Systemically important financial market utility (SIFMU) — designated by US regulators |
| Relationship to AccessFintech | Foundational infrastructure — DTCC operates the clearing and settlement infrastructure layer below which Synergy operates as a collaboration and exception management layer |
| Competitive overlap | Minimal direct competition — DTCC provides the settlement infrastructure; Synergy provides the pre-settlement exception management, cross-counterparty visibility, and post-settlement claims management that complements DTCC’s core function |
| Partnership status | DTCC referenced as a market infrastructure organization with which AccessFintech collaborates on behalf of clients for data access and downstream processing |
Structural distinction: DTCC is a regulated market utility that provides the settlement infrastructure through which transactions must legally clear and settle. AccessFintech operates in the pre-settlement and post-settlement layers — identifying exceptions before they become DTCC-level fails and managing claims after settlement has occurred. The two operate at different layers of the post-trade stack rather than as direct competitors for the same functional role.
Platform 2: Broadridge Financial Solutions
| Dimension | Detail |
|---|---|
| Institution type | Post-trade technology platform — publicly listed fintech (NYSE: BR) |
| Primary function | Trade processing, settlement infrastructure, proxy voting, investor communications, wealth management technology |
| Scale | Over $4.5 billion in revenues; post-trade platforms underpin daily trading of over $10 trillion in securities globally; 12,000+ employees across 17 countries |
| Market position | Dominant post-trade processing platform for sell-side institutions — broker-dealers, prime brokers, custodians |
| Relationship to AccessFintech | Confirmed strategic partner — Broadridge and AccessFintech jointly deliver the Strategic Gateway for Settlement Workflow |
| Integration model | Broadridge’s post-trade platform data is connected to AccessFintech’s cloud-based standardized operations workflow model through a governed API gateway |
| Competitive overlap | Limited direct competition — Broadridge provides the post-trade processing infrastructure; Synergy adds the multi-party collaboration, exception visualization, and automated resolution layer that Broadridge’s platform does not natively deliver |
| Partnership value statement | Broadridge’s Head of Capital Markets for North America described the partnership as enabling the trapped value that a single organization cannot free by itself — confirming that the Broadridge-AccessFintech integration delivers capabilities that neither platform could deliver independently |
Structural distinction: Broadridge processes trades — it executes settlement instructions, manages trade lifecycle events, and provides the operational infrastructure through which institutional transactions are processed. AccessFintech connects the counterparties involved in those transactions to a shared visibility and collaboration layer — enabling multi-party exception resolution that Broadridge’s bilateral processing model cannot facilitate. The partnership between the two platforms reflects this complementarity: Broadridge contributes data quality and processing infrastructure; AccessFintech contributes network collaboration and workflow automation.
Platform 3: Pirum Systems
| Dimension | Detail |
|---|---|
| Institution type | Post-trade automation platform — specialist securities finance and repo operations |
| Primary function | Securities lending and repo trade automation — collateral management, contract comparison, billing and income reconciliation, regulatory reporting for securities finance |
| Market position | Leading specialist platform for securities lending and repo post-trade operations |
| Relationship to AccessFintech | Adjacent specialist — operates in the securities lending and repo segment that overlaps with Synergy’s Securities Lending module and Settlement Netting capabilities |
| Competitive overlap | Moderate overlap in securities lending and repo workflow automation; Pirum’s depth of specialization in securities finance operations differs from Synergy’s multi-asset network model |
| Key distinction | Pirum is a deep specialist in securities finance automation for bilateral participants; Synergy delivers securities lending tracking as one module within a multi-asset network covering securities, derivatives, and alternatives simultaneously |
Structural distinction: Pirum delivers specialized depth in securities lending and repo operations — with functionality designed specifically for the contractual and operational nuances of securities finance. Synergy delivers multi-asset network breadth — enabling institutions to manage securities lending visibility alongside derivatives lifecycle management, loan data management, and settlement netting within a single governed network. Institutions with primary operations in securities finance may evaluate both platforms; institutions requiring multi-asset coverage are served by Synergy’s broader network architecture.
Platform 4: SimCorp
| Dimension | Detail |
|---|---|
| Institution type | Investment management software — SaaS OMS/PMS platform |
| Primary function | Front-to-back investment management platform — portfolio management, order management, risk, compliance, accounting, and asset servicing |
| Market position | Leading investment management platform for buy-side institutions — asset managers, pension funds, insurance companies |
| Relationship to AccessFintech | Confirmed integration partner — SimCorp Asset Service Hub connected to Synergy’s data normalization and aggregation layer |
| Competitive overlap | Minimal direct competition — SimCorp manages the investment lifecycle from front office through back office within a single institution; Synergy manages cross-institutional post-trade collaboration across multiple counterparties |
| Integration model | SimCorp’s Asset Service Hub provides cloud-based integration connecting SimCorp clients to Synergy’s normalized post-trade data, enabling buy-side institutions operating within SimCorp’s environment to access Synergy capabilities without separate deployment |
Structural distinction: SimCorp is an investment management platform — it manages an institution’s internal investment workflow from portfolio construction through accounting. Synergy is a network infrastructure platform — it manages the cross-institutional data sharing and exception resolution workflow that occurs between the investment management platform and the institution’s counterparties, custodians, and market infrastructure. The SimCorp-AccessFintech integration reflects the complementary nature of these functions: SimCorp manages the internal; Synergy connects the external.
Platform 5: Finastra
| Dimension | Detail |
|---|---|
| Institution type | Financial software platform — treasury, lending, capital markets, retail banking |
| Primary function | Broad financial services software including Fusion LenderComm (loan market agent-to-lender data distribution), treasury management, and capital markets operations |
| Market position | Major financial software provider with significant presence in the syndicated loan market through Fusion LenderComm |
| Relationship to AccessFintech | Confirmed integration partner — Finastra’s Fusion LenderComm platform integrated with Synergy’s Loans Lifecycle Management module |
| Competitive overlap | Limited direct competition in loans — Finastra operates the agent-side data distribution infrastructure; Synergy provides the shared network layer connecting agent data to lenders and enabling multi-party reconciliation and workflow |
| Integration value | The Finastra-AccessFintech integration digitizes the agent-to-lender data distribution channel, connecting Finastra’s agent platform client base to Synergy’s lender network through a single structured data feed |
Structural distinction: Finastra’s Fusion LenderComm manages the agent’s data distribution function — packaging and distributing loan lifecycle data from the agent system to lenders. Synergy provides the network layer that normalizes that data, makes it comparable across all lender systems simultaneously, and enables multi-party reconciliation and exception resolution between agents, lenders, and service providers. The integration between the two platforms connects Finastra’s data distribution capability to Synergy’s collaboration and normalization infrastructure, delivering capabilities that neither platform provides independently.
Platform 6: OpenLink (ION Group)
| Dimension | Detail |
|---|---|
| Institution type | Post-trade and risk management software — energy, commodities, and financial markets |
| Primary function | Trade capture, risk management, treasury operations, and post-trade processing for financial institutions and corporates |
| Market position | Established post-trade and risk platform with significant presence in energy, commodities, and financial markets operations |
| Relationship to AccessFintech | No confirmed integration or partnership — classified as a competitor in the post-trade operations software space by market intelligence sources |
| Competitive overlap | Some functional overlap in post-trade workflow and exception management; primary differentiation is OpenLink’s depth in energy and commodities markets versus Synergy’s capital markets network focus |
Platform 7: CloudMargin
| Dimension | Detail |
|---|---|
| Institution type | Collateral management and margin operations platform |
| Primary function | OTC derivatives collateral management, margin call automation, and regulatory margin compliance (IM/VM under BCBS-IOSCO) |
| Market position | Specialist platform for OTC derivatives margin and collateral operations |
| Relationship to AccessFintech | Adjacent specialist — operates in OTC derivatives margin management, which is adjacent to Synergy’s OTC Derivatives Cashflow Management capabilities |
| Competitive overlap | Limited — CloudMargin specializes in margin and collateral; Synergy focuses on cashflow confirmation, lifecycle management, and payment processing automation for OTC derivatives |
Platform 8: Hazeltree
| Dimension | Detail |
|---|---|
| Institution type | Treasury and liquidity management platform for buy-side institutions |
| Primary function | Cash management, securities financing optimization, counterparty exposure management, and treasury operations for hedge funds and asset managers |
| Market position | Leading treasury management platform for buy-side institutions with significant hedge fund client base |
| Relationship to AccessFintech | Adjacent — Hazeltree addresses treasury and cash management functions that are downstream of the settlement operations that Synergy manages |
| Competitive overlap | Limited direct competition — Hazeltree manages the treasury consequences of settlement activity; Synergy manages the settlement operations that generate those treasury requirements |
Competitive Landscape — Consolidated Reference Table
| Platform | Category | Primary Function | Relationship to AccessFintech | Competitive Overlap | Partnership Status |
|---|---|---|---|---|---|
| DTCC | Market infrastructure | Clearing, settlement, custody utility | Foundational infrastructure — Synergy operates above DTCC layer | Minimal — different stack layers | Collaborative — data access for downstream processing |
| Broadridge | Post-trade technology | Trade processing, settlement infrastructure | Confirmed strategic partner | Limited — complementary capabilities | Live — Strategic Gateway for Settlement Workflow |
| Pirum | Specialist post-trade | Securities lending and repo automation | Adjacent specialist | Moderate — securities lending and repo overlap | No confirmed partnership |
| SimCorp | OMS / investment management | Front-to-back investment management platform | Confirmed integration partner | Minimal — internal vs. cross-institutional function | Live — Asset Service Hub integration |
| Finastra | Financial software | Lending, treasury, capital markets | Confirmed integration partner | Limited — agent distribution vs. network collaboration | Live — Fusion LenderComm integration |
| OpenLink (ION) | Post-trade / risk management | Trade capture, risk, post-trade processing | No confirmed relationship | Some functional overlap in post-trade workflow | None confirmed |
| CloudMargin | Collateral management | OTC derivatives margin and collateral | Adjacent specialist | Limited — margin vs. cashflow and lifecycle | None confirmed |
| Hazeltree | Treasury management | Cash and securities financing optimization | Adjacent — downstream of settlement | Limited — treasury vs. settlement operations | None confirmed |
| S&P Global Market Intelligence | Market data / post-trade | Securities data and post-trade processing | Confirmed integration partner | Limited — data provision vs. network collaboration | Live — securities processing integration |
| SIX Group | Market data / CSD | Reference data, CSD operations | Confirmed data partner | None — data provider vs. network operator | Live — CSDR eligibility data partnership |
| BlackRock Aladdin | OMS / investment management | Investment management and post-trade | Confirmed strategic partner | None — OMS vs. network collaboration layer | Live — bilateral connectivity partnership |
Key Differentiators — Network Model vs. Point Solution
The most analytically significant distinction in the post-trade technology landscape is between network-model platforms — which generate value by connecting multiple institutions on shared infrastructure — and point solutions — which deliver value to individual institutions by automating specific functions within their own systems. AccessFintech operates exclusively as a network-model platform. This structural distinction creates a category of operational value that point solutions cannot replicate, regardless of their functional depth or technical sophistication.
The following analysis documents six structural dimensions along which the network model differs from the point solution model — and the specific operational implications of each difference for institutions evaluating post-trade technology investments.
Differentiator 1: Network Effects vs. Standalone Value
| Dimension | Point Solution | AccessFintech Network Model |
|---|---|---|
| Value at single institution | Full functional value delivered to the individual institution regardless of counterparty adoption | Partial value — the platform provides data management capabilities but cannot deliver cross-counterparty visibility without counterparty participation |
| Value as network grows | Constant — adding counterparties to the network does not change the value of the point solution for existing users | Compounding — each additional institution that joins the network increases the proportion of every existing member’s counterparty ecosystem that is reachable through a single governed data layer |
| Network effect mechanism | None — point solutions do not generate network effects | Every new participant increases cross-counterparty visibility, reduces the proportion of settlement exceptions that require bilateral resolution, and expands the data set from which AI-driven insights are generated |
| Current network effect status | Not applicable | Over 75% of global market trade volume flowing through the network — critical mass achieved across primary counterparty relationships for most institutional participants |
Operational implication: For an institution whose counterparty ecosystem is predominantly connected to the Synergy network — which, given the 75%+ global market volume share, describes the majority of institutional post-trade participants — joining the network delivers immediate cross-counterparty visibility across the majority of their settlement activity. A point solution deployed at a single institution delivers no cross-counterparty visibility regardless of its functional sophistication.
Differentiator 2: Shared Data Layer vs. Bilateral Data Exchange
| Dimension | Point Solution / Bilateral Integration | AccessFintech Network Model |
|---|---|---|
| Data sharing model | Bilateral — each counterparty pair requires a separate data connection, data format agreement, and technical integration | Multilateral — all participants connect once to a single governed data layer; data is normalized to common schemas applicable to all counterparty pairs simultaneously |
| Number of integrations required | N × (N-1) / 2 — the number of bilateral integrations scales quadratically with the number of counterparties | N — each institution connects once to the network; the network manages all counterparty data exchange |
| Data quality consistency | Variable — data quality depends on the specific bilateral agreement and technical implementation for each counterparty pair | Uniform — all data is normalized to standardized schemas by the network before any counterparty can access it |
| New counterparty onboarding | New bilateral integration project required for each new counterparty — months to years per connection | New counterparty joins the network through the existing API framework — weeks per connection |
| Data governance | Bilateral — each pair manages its own data sharing governance | Centralized — entitlements management governs all data access across all counterparty pairs simultaneously |
Operational implication: An institution with 50 active settlement counterparties would require 1,225 bilateral integration projects to achieve the same cross-counterparty data visibility that a single Synergy network connection delivers. At the industry-standard integration timeline of months to years per connection, bilateral integration is not operationally feasible at the scale required for comprehensive post-trade visibility. The network model eliminates this constraint entirely.
Differentiator 3: Mutualized Risk vs. Siloed Risk Management
| Dimension | Point Solution | AccessFintech Network Model |
|---|---|---|
| Exception identification | Identifies exceptions within a single institution’s data — cannot identify discrepancies that only become visible when counterparty data is compared | Identifies exceptions by comparing counterparty data sets across the network — surfacing discrepancies that are invisible within any single institution’s own data |
| Resolution capability | Can automate internal resolution workflows — cannot initiate or manage cross-counterparty resolution | Enables structured cross-counterparty resolution workflows — connecting all parties involved in a settlement exception on a single governed platform |
| Risk mutualization | Each institution bears its own exception management risk independently | Network participants share the operational intelligence generated by the collective data set — benefiting from exception patterns, fail predictions, and benchmarking insights derived from network-wide data |
| Benchmarking | No cross-institutional benchmarking available — an institution cannot assess whether its fail rate or exception rate is above or below market norms | Network-wide data enables benchmarking of institutional performance against anonymized network averages — identifying operational outliers and informing improvement priorities |
Operational implication: A settlement fail is by definition a cross-counterparty event — it occurs when two institutions’ settlement records do not align. A point solution deployed at a single institution can identify internal data quality issues but cannot identify or resolve the cross-counterparty mismatch that causes the fail. Only a network platform that has access to both counterparties’ data simultaneously can identify the specific discrepancy and initiate a structured resolution workflow before the fail materializes.
Differentiator 4: AI Trained on Network Data vs. Single-Institution Data
| Dimension | Point Solution | AccessFintech Network Model |
|---|---|---|
| AI training data | ML models trained on a single institution’s historical transaction data | AccessIQ ML models trained on the aggregated, normalized transaction data of all 250+ network participants across all asset classes |
| Predictive accuracy | Limited by the statistical sample of a single institution’s transaction history | Enhanced by the statistical depth and diversity of network-wide transaction data — identifying patterns that are invisible in any single institution’s data set |
| Anomaly detection | Identifies anomalies relative to a single institution’s historical norms | Identifies anomalies relative to network-wide norms — distinguishing institution-specific deviations from market-wide patterns |
| Settlement fail prediction | ML models predict fails based on a single institution’s historical fail patterns | AccessIQ predicts fails based on network-wide historical fail patterns — incorporating counterparty-specific behaviors, market-specific seasonality, and instrument-level risk factors visible only in multi-institutional data |
| Data enrichment | Limited to data available within a single institution’s systems | Network data layer enriched by contributions from 250+ institutions — including reference data, pricing data, eligibility data, and counterparty-specific operational data |
Operational implication: The operational intelligence that AccessIQ generates is directly proportional to the volume and diversity of data from which its models are trained. A network processing over 1 billion transactions per month across 250+ institutions generates a data set that is orders of magnitude larger and more statistically representative than any single institution’s transaction history — enabling predictive accuracy and anomaly detection that single-institution AI models cannot match.
Differentiator 5: Regulatory Compliance Through Network Data vs. Manual Data Sourcing
| Dimension | Point Solution | AccessFintech Network Model |
|---|---|---|
| CSDR eligibility data | Must be sourced manually or through separate data provider agreements for each institution independently | SIX Group eligibility data fed directly into the network layer — automatically applied to all relevant settlement records across all participating institutions |
| T+1 affirmation | Automated internally — cannot verify counterparty affirmation without bilateral data exchange | Cross-counterparty affirmation status visible in real time through shared data layer — T+1 affirmation confirmed when both counterparties’ records align on the network |
| EMIR reporting data quality | Data quality limited to what is available within a single institution’s systems — counterparty data gaps must be resolved bilaterally | Counterparty data discrepancies identified and resolved within the network before reporting submission — improving reporting accuracy for both counterparties simultaneously |
| Regulatory benchmarking | No cross-institutional regulatory performance benchmarking available | Network-wide regulatory compliance data enables benchmarking of CSDR penalty rates, T+1 affirmation rates, and exception rates against anonymized market norms |
Operational implication: Regulatory compliance in post-trade operations is inherently cross-institutional — CSDR penalties arise from bilateral settlement fails; T+1 affirmation requires bilateral data alignment; EMIR reporting accuracy depends on bilateral counterparty data quality. Point solutions that operate within a single institution’s data environment cannot address the bilateral dimension of these regulatory requirements. The Synergy network resolves the bilateral dimension by design.
Differentiator 6: Commercial Framework vs. Per-Integration Cost
| Dimension | Point Solution / Bilateral Integration | AccessFintech Network Model |
|---|---|---|
| Cost of adding counterparties | Each new counterparty requires a separate integration project — direct cost per connection measured in engineering time, legal agreement, and operational testing | Single network connection provides access to all 250+ network members — no incremental cost per additional counterparty within the network |
| VendorLake commercial framework | Each new technology vendor requires a separate commercial agreement, legal framework, and technical integration | VendorLake provides access to all participating technology vendors under the existing AccessFintech commercial and legal framework |
| Ongoing maintenance | Each bilateral integration must be maintained independently — system updates by any counterparty can break existing integrations | Network standardization means updates to the AccessFintech schema and API framework are managed centrally — individual counterparty system changes do not break existing network connectivity |
| Time to value | New bilateral integration — months to years before operational | New network connection — weeks before operational |
Operational implication: The commercial and technical efficiency of the network model compounds as an institution’s counterparty ecosystem grows. For an institution with 100 active settlement counterparties, the difference between 100 bilateral integration projects and a single network connection represents a material difference in integration infrastructure cost, maintenance overhead, and time to operational benefit.
Network Model vs. Point Solution — Consolidated Comparison
| Differentiator | Point Solution | AccessFintech Synergy Network | Advantage |
|---|---|---|---|
| Network effects | None — standalone value only | Compounding — value increases with each new participant | Network model |
| Data sharing model | Bilateral — N×(N-1)/2 integrations | Multilateral — single connection to all participants | Network model |
| Exception identification | Internal data only — cannot see counterparty discrepancies | Cross-counterparty — discrepancies identified by comparing both sides simultaneously | Network model |
| AI training data | Single-institution history | 250+ institutions — 1B+ transactions per month | Network model |
| Regulatory compliance data | Manual sourcing per institution | Network-embedded compliance data — CSDR, T+1, EMIR | Network model |
| Time to connect new counterparty | Months to years | Weeks | Network model |
| Cost per additional counterparty | Direct integration cost per connection | No incremental cost within network | Network model |
| Functional depth — specific workflows | High — point solutions can achieve deep specialization in single functions | Broad — multi-asset, multi-function, with deep specialization within each module | Context-dependent |
Implementation Model — How Synergy Connects Without Replacing Existing Systems
One of the primary barriers to enterprise software adoption in regulated financial institutions is the perceived requirement to replace or significantly modify existing technology infrastructure. For post-trade operations specifically — where core settlement systems, OMS platforms, and reconciliation infrastructure are deeply embedded in institutional workflows and subject to extensive regulatory validation — the prospect of system replacement creates organizational resistance, regulatory re-approval requirements, and operational risk that can block adoption decisions regardless of the operational merit of the new platform.
AccessFintech’s implementation model is explicitly designed to eliminate this barrier. The Synergy platform connects to existing institutional systems — reading data from source systems in whatever format those systems natively produce, normalizing that data within the network layer, and returning insights and workflow tools to operations teams through APIs that feed back into existing systems — without modifying, replacing, or requiring changes to any underlying source system.
This implementation approach is validated by the confirmed Broadridge partnership, where the integration was described as enabling institutions to move from projects that could take months, if not years, to projects that can take weeks — and by the fact that AccessFintech’s 250+ member institutions represent a client base operating across dozens of different OMS platforms, settlement systems, and custody infrastructures, all of which connect to Synergy through the same API-first framework without any standardization of underlying systems being required.
Implementation Model — Core Design Principles
Principle 1: API-First Architecture — No System Replacement
The API-first architecture is the foundational design principle that makes the no-replacement implementation model operationally viable. Every connection between Synergy and an institutional source system is executed through a bi-directional API that:
- Reads data from the source system in whatever format the system natively produces — JSON, XML, CSV, or delimited text — without requiring the source system to modify its data output format
- Normalizes the ingested data within the Synergy network layer — applying standardized field definitions, entity resolution, and schema mapping without touching the source system’s data model
- Returns normalized data, AI-generated insights, exception alerts, and workflow notifications to the institution through the same API channel — feeding information back into the source system or into a workflow interface that sits alongside existing systems
- Maintains full bidirectionality — enabling institutions to act on Synergy insights within their existing systems and have those actions reflected in the shared network data layer without manual data re-entry
Principle 2: Data Normalization at the Network Layer
Rather than requiring institutions to standardize their data before connecting to the network — an approach that would require source system modifications and create the implementation barrier that the API-first model is designed to avoid — Synergy performs all data normalization within the network layer itself:
| Normalization Function | Executed Where | Institutional System Requirement |
|---|---|---|
| Format conversion — JSON, XML, CSV | Synergy Data Vault — ETL pipeline | None — source system outputs any supported format |
| Field definition standardization | Synergy Data Vault — schema mapping | None — client-specific structures mapped to global schemas automatically |
| Entity resolution across systems | Synergy Data Vault — entity management | None — entities resolved across disparate systems within the network layer |
| Counterparty data alignment | Synergy Controlled Bridge | None — alignment performed by comparing normalized data sets on the network |
| AI enrichment and insight generation | Synergy AccessIQ layer | None — enrichment applied to normalized data within the network |
Principle 3: Modular Adoption — Incremental Value Without Full Deployment
The Synergy platform’s modular architecture enables institutions to adopt individual product modules — a single asset class network, a single workflow module, or a standalone data management service — without committing to full platform deployment across all asset classes and functions simultaneously:
- An institution can connect the Securities Settlement Management module without deploying Derivatives or Alternatives capabilities
- An institution can use the platform as a standalone data management service — benefiting from data normalization and enrichment capabilities — without joining the full multi-party collaboration network
- Modules can be added incrementally as operational value is demonstrated within the initially deployed module — reducing the organizational and financial commitment required for initial adoption
Principle 4: Governed Data Sovereignty Throughout Implementation
The implementation model preserves institutional data sovereignty at every stage of the connection and deployment process:
- Institutions configure their own entitlements at implementation — determining precisely what data they publish to the network and which counterparties can access it before any data sharing begins
- BYOK encryption ensures that institutions retain ownership and control of their encryption keys throughout the implementation and ongoing operation of the platform — no AccessFintech infrastructure component holds or controls institutional encryption keys
- Non-persistent analytics enables institutions to benefit from cross-counterparty insights without the underlying counterparty data being stored within the network layer — insights are surfaced without creating persistent data stores that could represent a data governance or regulatory compliance risk
Implementation Process — Phase Model
| Phase | Activities | Timeline | Institutional Requirement |
|---|---|---|---|
| Phase 1 — Commercial agreement | Contract execution; scope definition; module selection; entitlements framework agreed | Days to weeks | Legal and procurement engagement |
| Phase 2 — Technical onboarding | API connection established; data format mapping configured; ETL pipeline validated for institutional data formats | Weeks | Technical team API integration resource |
| Phase 3 — Data normalization validation | Normalized data quality validated against source system records; entity resolution confirmed; schema mapping verified | Weeks | Operations team data validation |
| Phase 4 — Entitlements configuration | Data publication rules configured; counterparty access permissions set; governance framework activated | Days to weeks | Operations and compliance team review |
| Phase 5 — Counterparty connectivity | Existing network members automatically accessible through standardized schemas; new counterparty onboarding initiated where required | Immediate for existing members — weeks for new counterparties | Counterparty agreement (if counterparty not already on network) |
| Phase 6 — Live operations | Real-time data exchange, exception management, and workflow automation active across all configured modules and counterparties | Ongoing | Operational adoption and workflow integration |
Total implementation timeline — API-first model vs. legacy bilateral integration:
| Integration Approach | Timeline per Counterparty | Scalability |
|---|---|---|
| Legacy bilateral integration | Months to years per connection | Not scalable — timeline multiplies with each new counterparty |
| Synergy API-first network connection | Weeks for initial implementation | Immediately scalable — all existing network members accessible upon connection |
Implementation Model — Confirmed Institutional Evidence
The implementation efficiency of the Synergy model is confirmed by several documented deployment experiences:
- Broadridge partnership: Broadridge’s Head of Capital Markets described the integration as shifting projects from months or years to weeks — specifically attributing this compression to the elimination of custom bilateral data integration work through Synergy’s standardized API and schema framework
- 250+ active members: The scale of network membership — 250+ institutions across four participant categories and three asset class networks — is operationally incompatible with a system-replacement implementation model. The diversity of OMS platforms, settlement systems, and custody infrastructure represented within 250 institutions makes it mathematically certain that the network was built through API-based connectivity to heterogeneous existing systems rather than through standardized platform replacement
- Modular adoption pattern: The confirmed deployment pattern — institutions initially adopting securities settlement capabilities before expanding to derivatives, loans, or payment modules — reflects the modular adoption model in practice, with operational value demonstrated at each stage before expansion to additional modules
- VendorLake adoption: The VendorLake framework’s ability to distribute technology vendor capabilities across the network membership under a unified commercial framework is only operationally viable if the underlying institutional connections are maintained through a standardized API architecture — confirming that the entire network operates on the API-first connectivity model
Implementation Model — What Remains in Existing Systems
To clarify precisely what the no-replacement model means operationally, the following table documents which functions remain within existing institutional systems following Synergy implementation and which functions are augmented by the network layer:
| Function | Remains in Existing Systems | Augmented by Synergy Network Layer |
|---|---|---|
| Trade capture and execution | OMS / trading platform | Not replaced — Synergy reads trade data from OMS via API |
| Settlement instruction generation | Post-trade processing platform (Broadridge, etc.) | Not replaced — Synergy adds pre-matching visibility layer above instruction generation |
| Settlement instruction submission | Custodian / settlement system | Not replaced — Synergy’s API dispatch layer sends validated instructions via existing API channels |
| Portfolio management | OMS / PMS (Aladdin, SimCorp, etc.) | Not replaced — Synergy connects to OMS via bilateral API |
| Internal reconciliation | Internal reconciliation systems | Not replaced — Synergy adds cross-counterparty reconciliation layer above internal systems |
| Accounting and ABOR | Fund accounting / accounting platform | Not replaced — Synergy adds IBOR/ABOR cross-system reconciliation capability |
| Regulatory reporting submission | Compliance reporting systems | Not replaced — Synergy improves data quality feeding into existing reporting systems |
| Cross-counterparty exception visibility | Not available in existing systems | Delivered exclusively by Synergy — requires network layer |
| Multi-party collaborative resolution | Not available in existing systems | Delivered exclusively by Synergy — requires network layer |
| Network-wide AI insights | Not available in existing systems | Delivered exclusively by Synergy — requires network-wide data |
| CSDR eligibility determination | Not natively available | Delivered by Synergy — SIX Group data integrated into network layer |
| Cross-counterparty benchmarking | Not available in existing systems | Delivered exclusively by Synergy — requires network-wide data |
Competitive Positioning — Summary Statement
The analytical conclusion of the competitive landscape review is that AccessFintech does not compete with established post-trade technology platforms in the conventional sense of the term. The confirmed partnership model — with Broadridge, SimCorp, S&P Global, Finastra, BlackRock Aladdin, MarketAxess, and BNY Mellon — demonstrates that the dominant commercial strategy is integration with existing platforms rather than displacement of them. The structural reason for this strategy is grounded in the network model: AccessFintech’s operational value is maximized when it connects to the largest possible number of institutional systems and counterparties — a goal that is served by integrating with established platforms that collectively represent the majority of global post-trade infrastructure, not by competing with them for the same functional role in the technology stack.
The platforms with which AccessFintech has the most direct functional overlap — specialist post-trade automation tools addressing individual workflow functions — are differentiated primarily by the single-institution vs. multi-institutional distinction. Synergy’s multi-asset, multi-institutional network model delivers cross-counterparty operational capabilities that no single-institution point solution can replicate, regardless of its functional depth within the specific workflow it addresses.
Frequently Asked Questions
What Is AccessFintech Used For?
AccessFintech is used by financial institutions to manage post-trade operations across securities, derivatives, and alternative asset classes through a shared data and workflow collaboration network. Specific use cases include:
- Settlement exception management: Identifying and resolving trade breaks between counterparties before settlement fails occur
- CSDR penalty management: Automating CSDR eligibility determination, cash penalty calculation, and claims management for European securities markets
- T+1 settlement readiness: Providing real-time T+0 trade visibility, pre-matching automation, and settlement netting to meet compressed settlement cycle requirements
- Derivatives lifecycle management: Managing cashflow confirmation, reset cycles, and payment processing automation for OTC derivatives including swaps and portfolio swaps
- Syndicated loan and private credit operations: Automating agent-to-lender data distribution, P&I payment matching, and third-party agent oversight for loan and private credit portfolios
- Settlement netting: Reducing gross settlement instruction volumes and funding requirements through automated bilateral and multilateral netting across repos, TBAs, and fixed income instruments
- Regulatory compliance: Supporting CSDR, T+1, EMIR, Dodd-Frank, TMPG, and IBOR/ABOR reconciliation requirements through normalized, governed post-trade data infrastructure
- Data management: Normalizing fragmented internal data from legacy systems for regulatory reporting, risk management, and API connectivity with new technologies
The platform is used by over 250 active institutions across buy-side, sell-side, custodian, and market infrastructure categories globally.
How Does the Synergy Network Work?
The Synergy Network operates as a cloud-native, API-first shared data and workflow infrastructure layer that connects financial institutions without requiring them to replace existing systems. The operational process functions as follows:
Step 1 — Data ingestion: Participating institutions connect their existing source systems to Synergy via bi-directional API. The platform accepts data in any structured format — JSON, XML, CSV, or delimited text — via push or pull ingestion methods supporting both real-time and asynchronous workflows.
Step 2 — Data normalization: Ingested data is processed through the Data Vault layer, where it is normalized to standardized field definitions and data schemas applicable across all asset classes and counterparty systems. Entity resolution aligns instrument, counterparty, and transaction identifiers across disparate systems.
Step 3 — Governed data sharing: Normalized data is made available to authorized counterparties through the Controlled Bridge layer, which applies institution-configured entitlements — each counterparty accesses only the data they are explicitly authorized to see. Non-persistent analytics surfaces insights without storing underlying raw counterparty data.
Step 4 — Exception identification and workflow: The Synchronized Data Networks layer — powered by AccessIQ — applies AI-driven anomaly detection, settlement fail forecasting, and pattern analysis to the normalized shared data, identifying exceptions and routing them to structured cross-counterparty resolution workflows.
Step 5 — Insight distribution: AI-generated insights and workflow notifications are pushed back into institutions’ existing systems of record via the event-driven digital distribution layer, enabling operations teams to act within familiar tools without platform switching.
What Asset Classes Does AccessFintech Cover?
AccessFintech’s Synergy platform covers four primary asset class categories:
| Asset Class | Network Name | Instrument Types |
|---|---|---|
| Securities | Synergy Securities Network | Equities, fixed income, government bonds, repos, TBAs, ETFs |
| Derivatives | Synergy Derivatives Network | OTC swaps, portfolio swaps, equity swaps, cleared and uncleared derivatives |
| Alternatives | Synergy Private Markets Network | Syndicated loans, private credit, direct lending, mezzanine debt |
| Payments | Cross-asset payment layer | Net cash obligations across all asset classes |
Within each asset class, the platform provides dedicated product modules addressing specific lifecycle stages — from trade confirmation and pre-matching through settlement, claims management, asset servicing, and regulatory reporting. The platform supports both cleared and uncleared derivatives, bilateral and CCP-settled securities, and standard and non-standard identifier conventions for private market instruments.
Is AccessFintech a SaaS Platform?
AccessFintech operates as a cloud-native SaaS platform. The following characteristics confirm its SaaS classification:
- Cloud-hosted infrastructure: The platform runs entirely on Amazon Web Services (AWS) with High Availability Zones — no on-premise installation is required at any participating institution
- Subscription-based network access: Institutions access the Synergy Network and its product modules through a commercial framework without purchasing or maintaining hardware or software licenses
- API-first connectivity: All institutional connections are established through bi-directional APIs — consistent with SaaS integration architecture
- Continuous updates: Platform updates, new product module releases, and AI model improvements are deployed centrally without requiring institutional system updates or re-certification
- Modular adoption: Institutions subscribe to individual product modules — securities, derivatives, alternatives — and expand their usage incrementally without separate software purchases
- Microservices architecture: Each platform function operates as an independent, scalable microservice — enabling continuous deployment and horizontal scaling consistent with enterprise SaaS operational models
AccessFintech is classified by market intelligence sources including Owler as a New York-based SaaS platform providing post-trade workflow optimization and data collaboration solutions for the financial services industry.
How Does AccessFintech Integrate With Existing Systems?
AccessFintech integrates with existing institutional systems through an API-first connectivity model that requires no system replacement or modification. The integration process operates as follows:
Technical integration mechanism:
- Bi-directional APIs connect Synergy to existing OMS platforms, settlement systems, custodian infrastructure, and post-trade processing platforms
- The platform accepts data in all native institutional formats — JSON, XML, CSV, and delimited text — without requiring source systems to modify their data output
- Data normalization is performed within the Synergy network layer — not within the source system — meaning existing systems continue to operate without modification
Integration timeline:
- Institutions connecting through Synergy’s API-first framework can achieve live network connectivity in weeks rather than the months or years required by legacy bilateral integration approaches
- Existing network members — over 250 institutions — are immediately accessible upon connection through pre-built standardized schemas
Confirmed integration examples:
| Existing System | Integration Model | Function |
|---|---|---|
| BlackRock Aladdin | Bilateral API connectivity | Real-time post-trade workflow between Aladdin and Synergy |
| Broadridge | Strategic Gateway API | Settlement data and multi-party workflow integration |
| SimCorp | Asset Service Hub cloud connection | Data aggregation for buy-side within SimCorp environment |
| S&P Global Market Intelligence | Direct API | Securities processing automation |
| Finastra Fusion LenderComm | Direct API | Loan data digitization and distribution |
Existing systems — OMS platforms, settlement systems, accounting platforms, and regulatory reporting infrastructure — remain fully operational and are augmented by Synergy’s cross-counterparty visibility and workflow capabilities rather than replaced by them.
What Is Settlement Netting in AccessFintech?
Settlement netting in AccessFintech refers to the automated calculation and aggregation of offsetting settlement obligations between counterparties — reducing the gross volume of individual settlement instructions that must be funded and processed on any given settlement date.
How Settlement Netting works on the Synergy platform:
- Gross settlement obligations across repos, TBAs, cash transactions, and fixed income instruments between counterparty pairs are identified and aggregated within the Synergy network
- Configurable netting rules are applied to calculate net obligations per currency and settlement date across all relevant positions
- Net payment amounts are validated against counterparty records before settlement instructions are generated — identifying discrepancies before they create payment failures
- Netted settlement instructions are dispatched directly to custodians via API, eliminating manual instruction submission
Instruments covered:
- Repo pairoffs — offsetting repo settlement obligations
- TBA pairoffs — To-Be-Announced mortgage-backed securities settlement netting
- Bilateral netting — fixed income instruments across all counterparty pairs
- CCP connect — cleared securities and derivatives positions
Operational outcomes:
- Gross settlement instruction volume reduced — fewer individual instructions to fund and process
- Liquidity requirements optimized — capital consumed by gross settlement funding reduced
- Manual custodian instruction submission eliminated — API dispatch replaces manual processes
- Custodian synchronization errors reduced — instructions validated before submission
The Settlement Netting module was launched in April 2025 with J.P. Morgan and Citi as the founding institutional participants in the fixed income and repo markets.
How Does AccessFintech Handle Data Security and Privacy?
AccessFintech’s data security and privacy framework is built on four primary architectural components designed to satisfy the compliance, legal, and data governance requirements of Tier 1 regulated financial institutions:
Component 1 — BYOK Encryption (Bring Your Own Key) Institutions retain ownership and control of their own encryption keys at all times. No AccessFintech infrastructure component holds or controls institutional encryption keys — ensuring that data remains accessible only to the institution that owns it and the counterparties it explicitly authorizes.
Component 2 — Entitlements Management A role-based entitlements system governs all data access across the network. Each institution configures precisely what data it publishes, to which counterparties, and at which lifecycle stage. No counterparty can access data outside of explicitly configured permissions — regardless of what data is present on the network.
Component 3 — Non-Persistent Analytics Cross-counterparty insights and analytics are surfaced without storing the underlying raw counterparty data that generated them. Institutions benefit from network intelligence without creating persistent data stores of counterparty proprietary information within the shared infrastructure.
Component 4 — Enterprise Identity Management Single sign-on via SSO/SAML (Okta integration) manages centralized access control with full audit-readiness across all institutional users of the platform.
Infrastructure security:
- AWS High Availability Zones with built-in disaster recovery in a single AWS region
- Snowflake-native integration for governed, real-time data sharing
- Complete audit trail of all data access, workflow actions, and communications
What Is AccessFintech AccessIQ?
AccessIQ is AccessFintech’s embedded artificial intelligence and machine learning layer within the Synergy platform. It applies agentic AI workflows and predictive models to the normalized, real-time transaction data of all network participants to generate operational intelligence that drives proactive exception management and resource optimization.
AccessIQ core capabilities:
| Capability | Function | Operational Outcome |
|---|---|---|
| Vector classification | Classifies transaction data into operational intelligence vectors using agentic AI workflows | New layer of operational intelligence across all post-trade operations |
| Anomaly detection | Identifies deviations from normal transaction patterns in real time across all asset classes | Exceptions identified before they generate fails or penalties |
| Pattern analysis | Surfaces recurring exception types, counterparty-specific trends, and systemic workflow gaps | Root cause identification enabling structural process improvement |
| Settlement fail forecasting | ML models trained on institutional and network-wide transaction history predict which trades are at risk of failing before settlement date | Proactive intervention replaces reactive resolution |
| Resource optimization | Prioritizes exceptions by risk level and resolution urgency | Operations teams directed to highest-risk exceptions first |
| Insight distribution | AI-generated insights pushed directly into clients’ systems of record via event-driven digital distribution | Operations teams act within existing tools without platform switching |
AccessIQ’s predictive accuracy is enhanced by the scale of the network data set from which its models are trained — over 1 billion transactions per month contributed by 250+ institutions across securities, derivatives, and alternatives asset classes.
Which Financial Institutions Use AccessFintech?
AccessFintech’s Synergy Network connects over 250 active financial institutions across buy-side, sell-side, custodian, and market infrastructure categories. Confirmed institutional participants and partners include the following:
Buy-Side:
- BlackRock — strategic partnership with bilateral Aladdin connectivity confirmed November 2025
Sell-Side / Broker-Dealers:
- J.P. Morgan — Settlement Netting founding participant; Series B and C investor
- Citi — Settlement Netting founding participant; Series B and C investor
- Goldman Sachs — Series B and C investor; early network participant
- Bank of America — Series C investor; network participant
- BNP Paribas Securities Services — Series C investor; NeoLink platform integration
- Deutsche Bank — confirmed early network participant
Custodians and Asset Servicers:
- BNY Mellon — Universal FX T+1 integration; Series C investor; board representation
- Wilmington Trust — Private Credit Lifecycle Management live production deployment
Market Infrastructure and Technology:
- SIX Group — CSDR data partnership
- S&P Global Market Intelligence — securities processing integration
- Broadridge — Strategic Gateway for Settlement Workflow
- SimCorp — Asset Service Hub integration
- Finastra — Fusion LenderComm loan market integration
- MarketAxess — repo T+0 affirmation integration
- Nuvo Prime — prime swaps integration
The full network membership of 250+ institutions includes additional buy-side, sell-side, and custodian participants not individually disclosed in public announcements.
How Does AccessFintech Support CSDR Compliance?
AccessFintech supports Central Securities Depositories Regulation (CSDR) compliance through a combination of native platform capabilities and a strategic data partnership with SIX Group. CSDR compliance support addresses three primary regulatory obligations:
Obligation 1 — Settlement fail prevention (fail compression):
- Pre-matching exception management identifies counterparty data discrepancies before settlement instructions are submitted, reducing the volume of settlement fails that generate CSDR penalties at source
- Real-time T+0 settlement visibility enables proactive exception escalation within the available settlement window
- AccessIQ ML-based settlement fail forecasting identifies at-risk trades before settlement date, enabling proactive intervention
Obligation 2 — Cash penalty management:
- SIX Group data partnership provides authoritative CSDR eligibility data and market value pricing directly within the Synergy workflow — eliminating manual eligibility data sourcing
- Automated penalty calculation using SIX Group pricing data replaces spreadsheet-based manual calculation
- Full penalty lifecycle management — from charge identification through dispute initiation and resolution — within the Claims Management module
Obligation 3 — Claims management:
- Dividend, interest, overdraft, and CSDR-specific claims automated from generation through counterparty notification and resolution
- Structured audit trail of all CSDR-related data, calculations, communications, and resolution actions
Documented outcomes:
- One institution increased CSDR penalty validation throughput from 10 per day to 1,000 per day
- One tier-one bank reduced penalty reconciliation time from multiple days to 30 minutes
What Is the Difference Between T+1 and T+2 Settlement and How Does AccessFintech Address T+1?
T+2 vs. T+1 — Definition:
| Settlement Cycle | Definition | Operational Implication |
|---|---|---|
| T+2 | Trades must settle two business days after trade execution | Two-day window for affirmation, pre-matching, exception resolution, and instruction submission |
| T+1 | Trades must settle one business day after trade execution | One-day window for all post-trade processes — halving the available time for exception resolution |
Markets currently operating on T+1: United States, Canada, and Mexico implemented T+1 in 2024. The United Kingdom and European Union have signalled a potential transition to T+1 as early as 2027.
Operational impact of T+1: The compression from T+2 to T+1 does not simply shorten the settlement window — it makes manual exception resolution processes operationally unviable at institutional scale, because the window available for identifying, escalating, and resolving settlement exceptions before the settlement deadline is halved.
How AccessFintech addresses T+1:
| T+1 Requirement | Synergy Capability | Module |
|---|---|---|
| Real-time trade status from T+0 | Cross-counterparty settlement visibility from point of trade execution | Settlements Management |
| Same-day pre-matching | Automated counterparty data discrepancy identification within T+0 window | Settlements Management |
| Automated instruction submission | API-based custodian dispatch replacing manual instruction submission | Settlements Management / Settlement Netting |
| FX funding for cross-currency settlement | BNY Mellon Universal FX platform integration | Platform integration |
| Gross obligation reduction | Automated bilateral and multilateral settlement netting | Settlement Netting |
| Fail prediction before settlement date | ML-based settlement fail forecasting | AccessIQ |
What Regulatory Frameworks Does AccessFintech Support?
AccessFintech supports the following regulatory frameworks through embedded platform capabilities and confirmed data partnerships:
| Regulatory Framework | Jurisdiction | Synergy Support |
|---|---|---|
| CSDR — Settlement Discipline Regime | European Union | Claims Management module; SIX Group eligibility data partnership; penalty calculation; fail compression |
| T+1 Settlement Mandate | US, Canada, Mexico (live); UK, EU (signalled ~2027) | T+0 visibility; pre-matching; Settlement Netting; BNY Mellon FX integration; API dispatch |
| EMIR / EMIR Refit | European Union | Trade data normalization; lifecycle event tracking; UTI reconciliation; counterparty data alignment |
| Dodd-Frank Title VII | United States | OTC derivatives data capture; cleared derivatives lifecycle management; SDR-compatible normalization |
| TMPG Fails Charge Framework | United States | Claims Management — US Treasury fails charge lifecycle management |
| US Treasury Mandatory Clearing | United States | Treasury Clearing module — pre-clearing netting; custodian synchronization; CCP connect |
| IBOR / ABOR Reconciliation | Global — LIBOR transition jurisdictions | Cross-system normalization; entity resolution; discrepancy classification; ARFR methodology support |
| MiFID II / MiFIR | European Union | Post-trade data normalization supporting transaction reporting data quality requirements |
| Basel III / IV — Margin Requirements | Global | Position and cashflow data supporting uncleared derivatives margin calculation infrastructure |
Who Are AccessFintech's Main Investors?
AccessFintech has raised $97 million in disclosed capital across Series A, Series B, and Series C funding rounds since 2016, with an additional undisclosed strategic capital investment from BlackRock in November 2025. The investor base consists primarily of Tier 1 financial institutions that are simultaneously strategic clients and partners of the Synergy platform.
Complete confirmed investor list:
| Investor | Round(s) | Investor Type | Board Representation |
|---|---|---|---|
| WestCap | Series C lead | Growth equity — capital markets software | Kevin Marcus (Partner, WestCap) |
| BNY Mellon | Series C | Global custodian — strategic investor | Caroline Butler (Global Head of Custody) |
| Bank of America | Series C | Broker-dealer / investment bank | Not publicly confirmed |
| J.P. Morgan | Series B, Series C | Broker-dealer / investment bank | Not publicly confirmed |
| Goldman Sachs | Series B, Series C | Broker-dealer / investment bank | Not publicly confirmed |
| Citi Group | Series B, Series C | Broker-dealer / investment bank | Not publicly confirmed |
| Dawn Capital | Series B, Series C | Institutional venture capital | Not publicly confirmed |
| BNP Paribas Securities Services | Series C extension | Securities services — strategic investor | Not publicly confirmed |
| BlackRock | Strategic investment (2025) | Asset manager — strategic investor | Former board director Sarah Shenton now CEO |
Total disclosed capital raised: $97 million. Total rounds: Series A (2018), Series B — $20M (2020), Series C — $60M (2022), BlackRock strategic investment (2025).
How Many Members Does the Synergy Network Have?
The Synergy Network has over 250 active member institutions as of the most recently confirmed public disclosures. Network membership spans all four primary post-trade participant categories:
| Participant Category | Examples of Confirmed Members |
|---|---|
| Buy-Side | BlackRock and additional asset managers and hedge funds (majority not individually disclosed) |
| Sell-Side | J.P. Morgan, Citi, Goldman Sachs, Bank of America, BNP Paribas, Deutsche Bank |
| Custodians and Asset Servicers | BNY Mellon, Wilmington Trust |
| Market Infrastructure and Technology | SIX Group, S&P Global, Broadridge, SimCorp, Finastra, MarketAxess, Nuvo Prime |
Network scale metrics:
| Metric | Verified Value |
|---|---|
| Active network members | 250+ institutions |
| Monthly transaction volume | 1B+ transactions |
| Daily transactions processed | 50M+ |
| Events processed per day | 2.5B+ |
| Global market volume share | Over 75% |
The network has grown from its founding participant base in 2016 through Series B expansion (securities and early derivatives coverage), Series C expansion (100+ participants; derivatives and syndicated loans added), and continued growth through 2025 across all three asset class networks.
H3: Does AccessFintech Replace Existing Post-Trade Systems?
AccessFintech does not replace existing post-trade systems. The Synergy platform is designed explicitly to connect to and augment existing institutional infrastructure — operating as a network-layer data collaboration and workflow platform that sits above existing systems without modifying, displacing, or requiring changes to any underlying source system.
What Synergy does not replace:
| Existing System Type | Examples | Synergy Relationship |
|---|---|---|
| OMS / investment management platforms | BlackRock Aladdin, SimCorp, Charles River | Integration partner — Synergy connects to OMS via bi-directional API |
| Post-trade processing platforms | Broadridge, Finastra | Integration partner — Synergy adds collaboration layer above processing infrastructure |
| Custodian and settlement systems | BNY Mellon, State Street systems | Connectivity partner — Synergy reads from and dispatches instructions to custodian systems via API |
| Internal reconciliation systems | Institution-specific | Synergy adds cross-counterparty reconciliation above internal systems |
| Accounting and ABOR systems | Fund accounting platforms | Synergy adds IBOR/ABOR cross-system reconciliation capability |
| Regulatory reporting systems | Compliance platforms | Synergy improves data quality feeding into existing reporting infrastructure |
What Synergy uniquely delivers that existing systems cannot provide:
- Cross-counterparty settlement exception visibility — requires network access to both counterparties’ data simultaneously
- Multi-party collaborative exception resolution workflow — requires network infrastructure connecting all parties
- Network-wide AI insights and settlement fail forecasting — requires aggregated data from 250+ institutions
- CSDR eligibility determination — requires SIX Group data integrated into network layer
- Cross-counterparty benchmarking — requires network-wide performance data
The confirmed Broadridge partnership — described as combining Broadridge’s post-trade data with AccessFintech’s workflow capabilities — is the clearest operational evidence of this complementary model: two platforms with different but compatible capabilities delivering combined value that neither can generate independently.
What Is AccessFintech's Pricing Model?
AccessFintech’s detailed pricing structure is not publicly disclosed. Based on confirmed publicly available information, the following pricing model characteristics are known:
Confirmed commercial structure characteristics:
- Network membership model: Institutions join the Synergy Network through a commercial agreement that governs their access to network connectivity, product modules, and data management capabilities
- Modular adoption: Product modules — securities, derivatives, alternatives, data management — are available for adoption individually or in combination, suggesting a modular commercial structure that enables incremental adoption without full platform commitment
- VendorLake framework: Technology vendors accessing the network through VendorLake operate under a unified commercial and legal framework with AccessFintech — the specific revenue sharing or fee structure of this framework is not publicly disclosed
- Enterprise SaaS model: As a cloud-native SaaS platform serving Tier 1 financial institutions, the commercial model is consistent with enterprise SaaS pricing structures — typically subscription-based with scope determined by asset class coverage, transaction volume, and module selection
- Standalone data management: The platform can be used as a standalone data management service independent of full network participation — suggesting the commercial model accommodates data-only use cases at a different commercial scope than full network membership
For specific pricing information, AccessFintech directs prospective clients to request a meeting through the official AccessFintech website at accessfintech.com.