How investors turn investment theses into shortlists with AI.
Investment teams accelerate deal sourcing from a plain-language investment thesis into a ranked shortlist of companies, with the funding and traction signals that matter.
Digital Assistant
Challenge
Sourcing is one of the most manual parts of the investment workflow. Analysts stitch together databases, screeners, and spreadsheets to translate a thesis into a list of credible targets, and the result is slow, inconsistent, and quickly stale.
Solution
Investment teams use Mistral Workflows to expand the investment thesis into structured filters with a Mistral model, run them against a company dataset alongside semantic search, then merge and rank both signal types into a traceable shortlist.
Result
Turns an investment thesis into a ranked, evidenced shortlist.
