Hebbia is an AI company building software for demanding professional knowledge work in finance, law, and consulting. Founded in 2020 by George Sivulka while pursuing a PhD at Stanford, along with co-founders Lukas Schmit and Tim Lupo, Hebbia focuses on letting professionals run complex analysis across large volumes of documents with accuracy and traceability, rather than simple question answering.
The company's main product, Matrix, can ingest large numbers of long documents and respond to user queries in a structured, spreadsheet-like tabular format. This design supports workflows such as comparing companies across SEC filings, performing due diligence, and organizing evidence across many sources, which aligns with the analytical needs of investment and legal professionals who require defensible, source-linked outputs.
Hebbia primarily serves asset managers, investment banks, and other financial institutions, and the company has reported that its software is used by a substantial share of large asset managers for tasks including due diligence and research. Its emphasis on handling unlimited document length and producing organized, comparative outputs differentiates it from general-purpose chat assistants.
In July 2024, Hebbia raised a $130 million Series B round led by Andreessen Horowitz, with participation from Index Ventures, Google Ventures, and Peter Thiel, at a reported valuation of roughly $700 million. The company has reported rapid revenue growth and profitable revenue at the time of the round, bringing total funding to roughly $161 million.
As AI for knowledge work is a competitive and fast-evolving market, organizations evaluating Hebbia should assess accuracy and source traceability on their own documents, integration with internal data, and how outputs fit existing finance, legal, and research workflows.