Global fund platform: investment intelligence and generative exploration at scale

Context

The platform operates where fund data, regulation, and distribution meet. Teams need comparable, trustworthy insight across huge volumes of technical sheets and fund reports—not manual triage at every market move.

Collaboration

We delivered an investment intelligence engine built on generative AI: pipelines to ingest heterogeneous PDFs, and an autonomous multi-agent architecture (orchestration patterns such as planning, critique, and review) with quality-aware execution. Agents and services connect through standard agent–tool protocols so flows stay composable and reusable.

That stack powers an exploration workspace: normalising and structuring financial information from large-scale heterogeneous documentation into retrieval, graph, and structured stores; natural-language exploration (“talk to the documents”); work sessions to keep queries, findings, and template-assisted reporting; and a structured fund catalog for coverage, search, and segmentation—with visualisations tailored to how teams actually decide.

Outcome

Comparable analysis and reporting that scales with document volume and product breadth, with traceability from raw filings to investment-facing outputs—without sacrificing the controls institutional platforms require.