Hebbia
Hebbia builds an institutional-intelligence AI platform for the rigor of finance. It helps investors, bankers, lawyers, consultants and Fortune 500 companies research and reason over large collections of internal and external documents and data, with traceable outputs.
At a Glance
- Asset managers and private-equity firms
- Private-credit firms and hedge funds
- Investment banks and equity-research teams
- Law firms
- +4 more
AI Tools by Hebbia
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Hebbia
AI Analyst for Institutional Finance
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Latest News
Hebbia announced its partnership with Octus, adding credit research, deal terms and private-company data to the platform.
Hebbia introduced Headless Hebbia, including a new API and MCP server.
Hebbia introduced Matrix 2.0, a major upgrade to its flagship product.
Hebbia introduced Max, its first AI team member built for firm workflows.
Products & Services
Enterprise institutional-intelligence platform that searches, analyzes and synthesizes internal documents, external data and licensed market sources with citations and traceability.
Flagship multi-agent workspace for reasoning over any volume of documents or companies in rows and columns, producing structured analyses with traceability back to source material.
Major Matrix upgrade focused on expanded analysis and workflow capabilities.
An always-on AI team member/analyst that researches and analyzes deals and produces client-ready spreadsheets, slides and reports.
Market Position
Hebbia positions itself as a purpose-built, enterprise-grade AI platform for high-stakes finance and professional-services work rather than a general chatbot or basic document search tool. Its differentiation is multi-agent reasoning across very large document sets, spreadsheet-like structured analysis, source-level traceability, firm-specific workflows and integrations with proprietary and licensed financial data. Comparable categories and competitors include enterprise search and knowledge platforms, financial-research terminals and AI research products such as AlphaSense, Bloomberg, Tegus, Sentieo, Glean, Harvey and general-purpose LLM research tools.
Leadership
Founders
George Sivulka
Founder and CEO. He studied at Stanford, including a doctoral program in natural-language processing, and left the PhD program to build Hebbia after seeing finance professionals spend enormous amounts of time searching and analyzing documents.
Executive Team
George Sivulka
Founder and Chief Executive Officer
Stanford-trained NLP researcher and former PhD student who founded Hebbia in 2020 and leads the company.
Aabhas Sharma
President and Chief Technology Officer
Previously CTO and engineering leader at Found, where he built financial infrastructure for millions of self-employed professionals; previously led engineering at Uber. He joined Hebbia in 2025 to lead technology and product.
Board of Directors
Founding Story
George Sivulka started Hebbia in 2020 while at Stanford after observing that highly capable people in finance were doing repetitive, low-value work across thousands of documents. He initially set out to build a highly intelligent, secure search engine that could index and reason over organizational knowledge; the vision evolved into an AI product layer and institutional-intelligence platform for complex professional work.
Business Model
Revenue Model
Enterprise software sold through demo-led contracts to institutions; revenue is subscription/platform access and enterprise deployment, with additional value from integrated licensed data and workflow capabilities.
Target Markets
- Asset managers and private-equity firms
- Private-credit firms and hedge funds
- Investment banks and equity-research teams
- Law firms
- Corporate development, finance and strategy teams
- Consulting and professional-services firms
- Investment and private-equity diligence
- Private-credit underwriting and monitoring
- Investment banking deal execution and research
- Equity research and leveraged finance analysis
- Hedge-fund research
- Corporate development, finance and strategy
- BlackRock
- KKR
- Carlyle
- Morgan Stanley