Summary
AI built for the rigour of finance — run structured analysis across thousands of documents with auditable answers.
Description
Hebbia is a document intelligence platform used by asset managers, private equity firms, and investment banks. Its core product, Matrix, applies a question across an entire document set and returns a grid of answers with sources.
Why the grid matters
A chat interface answers one question about one document. Diligence asks fifty questions across five thousand pages. Matrix is built for the second shape: define the questions as rows or columns, point it at a data room, and every cell is populated with a cited answer you can click through to verify.
Capabilities
- Analysis at corpus scale across filings, contracts, transcripts, research, and internal documents
- Full auditability. Every answer links to the exact passage, which is a hard requirement in regulated finance.
- Complex document handling — financial tables, footnotes, and scanned exhibits
- Agentic workflows for multi-step analysis that would otherwise be an analyst's week
- Enterprise security with data isolation and no training on customer content
Who buys it
Investment firms and financial institutions, sold enterprise-wide with quoted pricing. The output is analysis a professional then validates — the value is in compressing the search and extraction, not in replacing judgement.
Reviews
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