Hebbia

Hebbia is an enterprise AI platform focused on document analysis and knowledge work, founded by George Sivulka while he was a PhD student at Stanford. The company has raised over $130 million and is gaining traction with major financial institutions, law firms, and consulting companies.

Hebbia's Matrix product enables users to ask complex questions across thousands of documents simultaneously, organizing AI-generated answers into structured tables with citations. Unlike simple RAG (retrieval-augmented generation) systems that return relevant text snippets, Matrix performs multi-step reasoning across document sets — cross-referencing information, identifying patterns, and synthesizing findings in a way that mirrors how human analysts work.

Hebbia targets knowledge workers who spend significant time reading, analyzing, and synthesizing large document sets — investment analysts reviewing SEC filings, lawyers conducting due diligence, consultants analyzing market research. The company's focus on accuracy, citations, and structured output (rather than free-form chat) addresses the key barrier to AI adoption in high-stakes professional environments where errors have real consequences.