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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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.