Hebbia
Purpose-built AI for high-stakes financial decisions trusted by leading investors, bankers, and Fortune 500s
Enterprise·All audiences
Key strengths
Processes 1.5B+ pages with limitless document contextFinance-specific workflows for M&A, credit, and asset managementEnterprise collaboration with shared institutional knowledgeConnects private documents with leading financial data providersAutomated multi-step workflows that encode firm processes
Enterprise pricing
New York, USA
Founded 2020
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- Large-Scale Document Extraction — Run structured Matrix queries across 1,000+ documents (e.g., SEC filings, VDR contents) to extract specific data fields in parallel.
- Automated Analytical Pipelines — Define multi-step workflows (research → analysis → slide generation → email distribution) that execute on a schedule without manual prompting.
- Financial Data Source Fusion — Join private document repositories with live financial data from Capital IQ, FactSet, and PitchBook in a unified query layer.
- Agent-Driven Research — Deploy AI agents to perform buyer universe searches, expert call analyses, and company summaries autonomously.
- Institutional Knowledge Graph — Shared project workspaces accumulate prompt history and outputs, enabling teams to build on prior analysis as a queryable knowledge base.
- Regulatory Filing Analysis — Ingest and reason over EU filings, investor materials, and sector insight feeds alongside proprietary internal documents.