Hebbia
Purpose-built AI for high-stakes financial decisions trusted by leading investors, bankers, and Fortune 500s
Enterprise·All audiences
Key strengths
Purpose-built for finance, legal, and banking workflowsAI analyst (Max) for deal team collaborationMatrix feature for managing large-scale structured analysisBroad integrations with financial data sources and document repositoriesFirm-wide productivity through shared AI projects
Enterprise pricing
New York, USA
Founded 2020
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Hebbia — Technical Overview
Hebbia is an AI platform purpose-built for finance, legal, and banking workflows. It connects to a broad ecosystem of financial data sources and enterprise document repositories via native integrations, enabling structured, large-scale document analysis across firm-wide projects.
Core architectural highlights:
- AI Analyst (Max): A collaborative AI agent designed for deal team workflows, capable of reasoning across large document sets.
- Matrix feature: Enables structured, grid-based analysis across many documents simultaneously — suited for due diligence, portfolio monitoring, and comparable analysis at scale.
- Integration layer: Pre-built connectors span public financial data sources (SEC Filings, Earnings Transcripts, European Filings, UK Companies House, Australia and NZ Filings, FactSet, S&P Capital IQ, PitchBook, Preqin, Fitch, ICE Market Data, EMMA), enterprise document stores (SharePoint, OneDrive, Box, Dropbox, Egnyte, AWS, IntraLinks), expert network platforms (Third Bridge, Guidepoint), CRM and deal management tools (Salesforce, DealCloud), and data warehouses (Snowflake, Databricks).
- Firm-wide collaboration: Projects and AI outputs are shareable across teams, supporting institutional knowledge workflows rather than individual point queries.
Target integrators: Finance, legal, and banking teams embedding AI into existing data infrastructure and document management systems.
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