Hebbia
by Hebbia
AI for finance: institutional intelligence
Hebbia is an enterprise AI platform that analyzes financial and legal documents at scale, helping investors, bankers, and advisors extract insights from large, complex datasets.
At a Glance
- Category
- Enterprise Search & Knowledge
- Pricing
- custom, seat-based, annual contract
- Target Market
- Enterprise, Investment Banking, Private Equity, Asset Management, Legal / Law Firms, Corporate Finance, Professional Services
- Founded
- 2020
- Headquarters
- New York City, New York, USA
Key Features
- ✓Matrix document analysis
Extracts and reasons over information across PDFs, spreadsheets, transcripts, filings, and contracts using natural-language queries.
- ✓Large-scale context reasoning
Analyzes vast document sets and limitless context to surface insights that would be impractical to find manually.
- ✓Automated workflows
Encodes recurring firm processes (e.g., diligence checklists, investment memos) and runs them continuously across new data.
- ✓Enterprise integrations and data providers
Connects to private documents and external sources including FactSet, S&P Capital IQ, PitchBook, Snowflake, SharePoint, and Box.
- ✓Enterprise-grade security
SOC 2 Type II, ISO/IEC 42001:2023 compliance, and end-to-end encryption for sensitive financial and legal data.
Capabilities
Use Cases
- •M&A and credit due diligence
Analyze deal documents and credit agreements to identify negotiation leverage, risks, and key terms across large data rooms.
- •Investment research and memo generation
Synthesize market research, filings, and earnings transcripts and auto-generate investment memos, diligence reports, and board decks.
- •Legal contract and filing review
Summarize and extract terms from customer contracts, filings, and legal documents for law firms and corporate legal teams.
Ideal For
Best For
- ✓Financial document analysis
- ✓M&A and investment due diligence
- ✓Legal contract review
- ✓Knowledge retrieval over large datasets
Market Analysis
Pros
- ✓Deep, finance-specific document analysis at large scale
- ✓Trusted by top-tier financial institutions and law firms
- ✓Strong enterprise security posture
- ✓Automated, repeatable workflows for diligence and research
Cons
- ✗Very high enterprise pricing; not accessible to smaller firms
- ✗No public API or self-hosted deployment
- ✗Custom sales process required before access
Pricing
Enterprise (seat-based, custom)
Contact sales (custom quote)
- ✓Seat-based licensing with unlimited usage per seat
- ✓Matrix document analysis
- ✓Enterprise integrations
- ✓Automated workflows
- ✓SOC 2 Type II / ISO 42001 security
Pricing is not public; Hebbia uses a seat-based enterprise model with unlimited usage within seat tiers and an enterprise sales process. Third-party estimates compare per-seat cost to a Bloomberg Terminal (potentially upwards of ~$20,000/user/year); not officially confirmed.
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