Fundipedia

Asset managers and fund operators consistently struggle with product data scattered across multiple vendors, systems, and formats, with no single source of truth to satisfy regulators or internal teams. Fundipedia addresses this by acting as a product data master, sitting at the centre of a firm's data ecosystem and governing the flow of fund-level data from collection through to distribution.

The platform is built around three operational stages that together cover the full data lifecycle:

• Collect and Verify: ingesting static and dynamic data from third-party sources and validating it before it enters the business
• Access and Govern: applying configurable control models so each user sees only the data relevant to their role
• Distribute and Reconcile: automating regulatory reporting and reconciling vendor data to ensure accuracy at the point of distribution

Two features distinguish Fundipedia from generic data management tools. First Responder automates the resolution of data exceptions without requiring additional headcount, addressing one of the most resource-intensive pain points in fund data operations. Automated reconciliation continuously cross-checks vendor data against market sources, giving compliance teams an auditable record that regulators can examine directly.

Fundipedia is designed for asset managers and fund operators, not family offices managing private wealth. Its product data mastering focus is tightly scoped to fund and product-level data rather than portfolio positions, consolidated reporting across custodians, or family-level financial aggregation. Teams evaluating it as a general investment data platform will find it does not cover those use cases. Pricing is not disclosed publicly, and the platform appears primarily oriented toward the UK market based on available signals. Firms outside the asset management context are unlikely to find a fit here.

• Centralising fund product data into a single master record
• Automating reconciliation of third-party vendor data
• Automating resolution of data quality exceptions
• Supporting regulatory reporting with auditable data trails
• Distributing governed data across internal teams and external parties
• Enforcing data quality rules through automated monitoring

• Product Data Mastering
• First Responder automated exception resolution
• Automated third-party data reconciliation
• User-configurable data views by role
• Data quality rules engine
• Audit trail and data dictionary for compliance evidence
• Fundi Compliance module
• Fundi Workflow (launch workflow)
• Managed Services offering
• Third-party system integration connectors

Built for Fund Managers.