Hebbia is an AI research and reasoning platform using an 'agent swarm' architecture to process massive document libraries for finance and legal teams.
AI research and reasoning platform processing massive document libraries using its Matrix 'agent swarm' architecture, enabling finance and legal professionals to extract insights across thousands of documents simultaneously.
Key Features
Matrix workspace (spreadsheet-like grid of AI-extracted insights)
Infinite context window for entire data rooms
Multi-agent swarm architecture
Cross-document comparison (contracts, financials)
End-to-end M&A workflow support
AI Capabilities
Multi-agent 'agent swarm' architecture with infinite context window; each Matrix cell is AI-generated from source documents; natural language Q&A over large document sets with cited answers.
Integrations
Slack, Microsoft Teams, SharePoint, Google Drive, Dropbox, Snowflake, Databricks
What sets it apart
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Infinite context window + agent swarm enables reasoning over entire data rooms — not just individual documents
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Supports end-to-end M&A workflows (not just single diligence steps) in a connected system
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Acquired FlashDocs (2025) for AI-powered slide deck creation, expanding into deal output generation
Key Facts
- Founded
- 2020
- Pricing
- Subscription
- Deal Stage
- Transaction
- Target Market
- PE, Investment Banking, Asset Management, Legal
