Hebbia, founded by Stanford PhD dropout George Sivulka in August 2020, builds an AI research copilot for financial institutions, letting analysts run structured, multi-document analysis across filings, transcripts, and internal research the way a large research team would, compressed into a single query.
That focus on document-heavy financial research resonated fast: Hebbia reports that 30% of all asset managers now use its platform for due diligence, asset pricing, and comparable research, and the company reached profitability on $13 million in annual recurring revenue before raising a $130 million Series B in July 2024 at a $700 million valuation, led by Andreessen Horowitz with Index Ventures, Google Ventures, and Peter Thiel also participating.
Enterprise pricing is quote-based and requires a sales conversation, reflecting its focus on large financial institutions rather than individual users. For an asset manager, bank, or research team that wants multi-document financial analysis compressed into a single query, rather than analysts manually working through filings and transcripts one at a time, Hebbia's research copilot addresses that directly.
