Bullhound Capital Cuts Analyst Report Time by 96% with AI-Powered Market Intelligence

Bullhound Capital, one of Europe's leading technology-focused investment firms, has significantly accelerated its private market research capabilities after deploying a native integration between Bigdata.com and Anthropic's Claude AI platform using the Model Context Protocol (MCP).

The move addresses a persistent friction point in investment research: as deal flow scaled, analysts were spending growing portions of their time on manual data aggregation, pulling from fragmented and often outdated sources rather than applying judgment to the intelligence itself. The firm needed a solution that could deliver verified, structured market intelligence directly inside the tools analysts already use, without requiring custom engineering work.

Through the MCP integration, Bigdata.com by RavenPack now functions as a trusted intelligence layer inside Claude, giving Bullhound analysts on-demand access to four core capabilities: automated company briefs covering both public and private entities, real-time risk signals grounded in continuously updated data, synthesised earnings digests for public holdings, and market-wide analytics workflows, all surfaced within seconds at the point of decision.

The results have been measurable. Research reports that previously took two full days to produce are now completed in under two hours, with analysts working inside a governed data environment that eliminates the accuracy risks associated with unverified third-party sources.

"We didn't just want faster research, we wanted smarter infrastructure. Connecting Bigdata.com to Claude gave us exactly that: an environment where our analysts spend time on judgment, not aggregation."

Per Roman, Founding Partner, Bullhound Capital

The integration required no bespoke development on Bullhound's part. By leveraging MCP, a protocol that allows AI models to connect directly with external data services, the firm was able to embed Bigdata.com's verified intelligence into Claude's existing interface without engineering overhead, making the setup accessible to firms of varying technical capacity. The deployment reflects a broader shift in how institutional investors are approaching research automation: moving away from standalone data tools and toward AI environments that bring structured, governed intelligence directly into the analyst's decision-making workflow.

Find out more about leveraging the power of Bigdata inside Claude at Bigdata.com/Claude