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Integrations

One marketplace for every integration your firm needs. A growing catalogue of pre-built connectors to market data vendors, custodians, administrators, brokers, and AI platforms. 850+ governed APIs. New integrations added continuously without custom development.

The Industry Challenge

The average investment firm connects to dozens of data vendors, counterparties, and internal systems, each with different formats, protocols, and update cycles. Integration is the hidden cost centre of financial technology: expensive to build, fragile to maintain, and a bottleneck for every new initiative. When AI enters the picture, the integration problem multiplies: AI needs live, governed, contextualised data, not batch exports.

How FINBOURNE helps

A growing catalogue of integrations, not a fixed list. New integrations are added to the catalogue continuously by FINBOURNE, by partners, and by clients. Connecting a new data source or system is configuration, not custom development. Each integration is governed, entitlement-aware, and auditable.

Cut integration costs

Eliminate the complexity of managing multiple data and vendor integrations. Lower infrastructure and operational overhead through centralised connectivity and 850+ pre-built APIs.

Accelerate innovation, without disruption

Launch new capabilities faster with out-of-the-box integrations. Augment or replace legacy systems with extensive, standardised APIs, no disruption to existing services.

Data in, data out, agents on top

Data flows in from custodians, administrators, market data vendors, and brokers through pre-built connectors. It flows out to BI tools, reporting platforms, and downstream systems through data virtualisation and APIs. AI agents connect via MCP and work on the same governed data, reading and writing through financial concepts rather than raw tables. Use Candela, FINBOURNE's own AI assistant, or bring your own.

Unified platform, unified data

Access a single, trusted source of mastered and transformed data from any source. Combine internal and external, structured and unstructured data in a secure, compliant environment.

Featured Integration Partners

Features

01

Native market data integrations

Plug-and-play connectivity to leading data providers. Out-of-the-box access to major market and reference data sources.

02

Operational data coverage

Full lifecycle support for investment operations. Trade execution, fund administration, custody, margin, and financing data integrated in one layer.

03

MCP and A2A protocols

Connect any AI assistant, Claude, GitHub Copilot, or your own, via MCP servers. Or use Candela, FINBOURNE's own AI assistant with live financial context built in.

04

850+ governed APIs

Each API mapped to a financial concept. Identity, parameters, and entitlements logged at the platform level.

05

Advanced analytics and regulatory reporting

Pricing, ratings, ESG data, performance attribution, and regulatory reporting to meet client and compliance needs.

06

Expert vendor management

Support across technical and commercial data vendor relationships. Maximise the value of your data spend.

AI

The hard part of investment AI isn't the AI. It's what sits between the AI and your data. FINBOURNE's financial operating layer gives AI agents domain context (instruments, positions, fund hierarchies, corporate actions, accounting), live governed access (entitlements applied on every call), and a full audit trail. Agents reason over financial concepts through APIs, they never touch your databases. Use Candela, or bring your own AI assistant via MCP.

Candela (FINBOURNE AI assistant MCP server integration Claude / Claude Code GitHub Copilot Any MCP-compatible agent

Client stories

Asset servicers

Asset servicer, connecting Geneva to Tableau without replacing anything

A US asset servicer needed reporting capabilities for a large multi-strategy hedge fund client that Geneva alone could not deliver. Data was trapped in the back-office system with no clean path to the client’s Tableau infrastructure. FINBOURNE was deployed as the central integration layer, connecting Geneva, front-office systems, and risk analytics via data virtualisation, feeding directly into the existing Tableau BI stack. No front-office changes, no rip-and-replace.

Asset owners

Pension fund, integrating Aladdin and 30+ external data sources

A large pension fund operated with no real-time data capabilities, with decision-makers forced to work with out-of-date information. FINBOURNE integrates with BlackRock Aladdin and consolidates data from numerous external sources, creating a unified instrument master covering both IBOR and ABOR. The integration layer enables regulatory reporting including SFTR and supports ESG data integration.

Asset managers

Large asset manager, data virtualisation enabling research and analytics

A large asset manager had existing workflows serving operations and accounting but limiting data access for analytics teams. FINBOURNE’s data virtualisation layer exposed core investment data via SQL, enabling secure, on-demand querying through familiar tools: Power BI, Excel, and Python, without infrastructure changes or data duplication.

Hedge funds

Wealth manager, 15+ custodian integrations with FIX execution

A wealth manager running thousands of multi-asset portfolios needed to automate data ingestion from 15+ custodians, each in different formats. FINBOURNE’s integration layer ingests scheduled data loads from all custodians, normalising them into a single bitemporal data model. FIX-based execution connects to Tradeweb and NYFIX for straight-through processing.

Private credit

Expanding market data coverage for complex instruments

A private credit fund administrator started with Bloomberg as the sole market data provider but needed to expand coverage. FINBOURNE’s integration layer enables phased expansion, adding S&P WSO, ICE, IDC, and Pricing Direct feeds for term loans, CLOs, ABS/MBS, and structured credit.

Private equity

Consolidating 37 integration points into a single data layer

A private credit specialist needed to consolidate data from 37 separate integration points across brokers, counterparties, and market data providers. FINBOURNE’s EDM+ ingests all 37 feeds, with data virtualisation delivering governed data downstream to reporting and analytics tools.

Ready to see FINBOURNE in action?

Book a demo

Questions we hear from technology and data teams

How do I connect a new data source or vendor without a six-month integration project each time?

FINBOURNE maintains a growing catalogue of pre-built connectors to market data vendors, custodians, administrators, and brokers. Connecting a new source is configuration through the catalogue, not custom development.

How are firms managing the gap between what their existing systems hold and what AI agents need to work with?

FINBOURNE’s financial operating layer sits between AI agents and source systems, giving agents access to financial concepts (instruments, positions, fund hierarchies) rather than raw tables. Agents connect via MCP with entitlements enforced on every call.

What does it take to get data from a back-office system into a BI tool without building a bespoke pipeline?

Data virtualisation exposes data from any connected source via SQL, queryable through Power BI, Excel, Python, or any tool that speaks SQL. No data movement, no bespoke pipeline, no copy to maintain.

How do I give an AI assistant governed access to live investment data without exposing raw databases?

AI agents connect via MCP and read through FINBOURNE’s API layer, which maps every call to a financial concept with identity, entitlements, and parameters logged at the platform level. Agents never touch the underlying databases.

How are firms reducing the number of point-to-point integrations they have to maintain?

By replacing bespoke connections with a centralised integration layer. Each source connects once to FINBOURNE; each consumer reads from the governed data layer. The number of integrations grows linearly, not exponentially.