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Finance & Fintech AI

Hebbia

Hebbia

Hebbia is an enterprise AI platform built specifically for knowledge workers in financial services who must process large volumes of unstructured documents — SEC filings, CIMs, loan agreements, fund documents, earnings transcripts — and extract structured, comparable data. Its unique Matrix interface (not a chat box) lets analysts define rows (documents) and columns (data points to extract), then Hebbia fills the entire grid simultaneously across hundreds or thousands of documents. Flash Docs (2026) generates fully branded pitch decks and financial models directly from the Matrix output. Zero data retention (ZDR), encryption in transit and at rest, isolated data environments. Clients include major investment banks, PE firms, and asset managers. Enterprise pricing only — no public tiers. Best for: investment banking analysts, PE deal teams, and institutional research teams who need structured intelligence extracted from document-heavy workflows at scale.

Official websiteDocumentation
PricingPaid
APIUnavailable
Open sourceNo

Enterprise-only. No public pricing — requires sales engagement. Custom quotes based on users, document volume, and data sensitivity requirements.

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Tags

document analysis
matrix interface
sec filings
cim
loan agreements
pitch deck generation
zdr
enterprise pe banking