Hebbia
AI for investment research and due diligence
Overview
Hebbia builds AI search for finance — handles questions across thousands of documents (10-Ks, fund memos, market reports) in a single query. Customers include Goldman Sachs, Centerview, NEA. Enterprise pricing only.
Use cases
ASEAN Perspective
Hebbia in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Hebbia's Matrix is an enterprise AI analyst that runs structured, agentic reasoning across thousands of documents at once, built for finance, legal, and high-stakes knowledge work where source traceability matters. It excels at deep search over large corpora (filings, broker research, contracts) with cited outputs, and integrations with sources like PitchBook and CapIQ make it powerful for diligence and investment workflows. It suits asset managers, banks, and large legal teams.
Caveats: pricing is steep and enterprise-only, reportedly around $10,000/seat/year for full seats, with mandatory sales engagement and no public pricing. It is overkill for general teams. Strongest in US/global financial contexts; ASEAN readiness is moderate (usable regionally, no local data-residency story). No open public API.
About this listing
This entry was compiled from publicly available data including Hebbia's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Hebbia unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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