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Agentic AI that turns unstructured documents into structured answers for finance and legal teams
HQ: New York, NY | Founded: 2020 | Employees: ~200 (2026, est.) | Stage: Late-stage VC (Series B) | Website: https://www.hebbia.com
Hebbia was founded in August 2020 by George Sivulka, then a Stanford economics PhD student and ex-bridge-investor, who set out to fix the fundamental problem that documents don't answer questions — people have to read them. Its initial pitch made the search-like capability of 'Ctrl+F for anything' feel overambitious; backers at the seed stage included Peter Thiel, Floodgate, and Naval Ravikant.
Hebbia's breakthrough product is Matrix, launched in 2022: an agentic research platform that ingests tens of thousands of documents and produces a spreadsheet-like grid of structured answers ('bento' cells) where every answer is decomposed into its underlying sources with traceable citations. The proprietary architecture, Iterative Source Decomposition (ISD), parallelizes document understanding and
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