From Search to Analyst Workflow

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Product Marketing Leader at AlphaSense on the evolution of AI-powered financial research

Interview
AlphaSense acquired Sentio, but was still running up against other competitors like CapIQ and FactSet
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This showed that buying a dataset was not enough, because the real moat in financial research was already embedded in daily workflow. Sentieo helped AlphaSense close a product gap in investor data, but CapIQ and FactSet still had the harder thing to displace, which was analysts storing notes, pulling numbers into models, and routing internal research through systems their firms already trusted.

  • AlphaSense was strongest in searching unstructured documents, like filings, earnings calls, broker research, and later expert transcripts. Its own positioning was as a complement to Bloomberg, FactSet, and S&P, not a full replacement for those structured data terminals.
  • FactSet was already deep in internal research workflows through products like IRN and research management tools, where analysts could save notes, attach files, link charts, and search firm knowledge alongside market data. That made it sticky beyond the raw dataset itself.
  • The broader market was consolidating around all in one research stacks. AlphaSense bought Stream, Sentieo, and then Tegus, while incumbents added their own AI and document analysis layers. Competition was shifting from best search engine to best bundled workstation.

The next leg of competition is moving from search into system of work. The winner will be the platform that lets an analyst find a document, check the number, write the note, share it internally, and reuse that knowledge later, all without leaving the product.