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
Get alerts when Hebbia changes
Free. We'll email you when pricing, the free tier, API access or open-source status changes.
No ratings yet
Technical Integration & Architecture
Hebbia is built for enterprise deployment with deep integrations and scalable document processing:
- Data Connectors — Native integrations with Snowflake, AWS S3, SharePoint, Box, Dropbox, and Egnyte for private document ingestion; financial data from FactSet, S&P Capital IQ, PitchBook, Guidepoint, and Thirdbridge.
- Document Scale — The platform is engineered to reason over "limitless context," having processed over 1.5 billion pages, enabling cross-document analysis at a scale beyond typical LLM context windows.
- Matrix Outputs — Structured tabular extraction across large document corpora (e.g., 1,256 earnings call documents), enabling side-by-side comparison with custom columns.
- Workflow Automation — Supports multi-step agent workflows (e.g., research → analyze → draft slides → send email) that can be scheduled and run continuously.
- Security — Dedicated security documentation available at hebbia.com/security; enterprise-grade access controls and data isolation.
- Collaboration Layer — Shared project workspaces allow teams to build on each other's prompts, outputs, and document sets, creating an organizational memory layer.
Alternatives
See all alternatives Alternatives to Hebbia
Is Hebbia yours? Claim the listing & get the badge