Hebbia

Hebbia

Institutional finance and legal teams, including investors, bankers, advisors, and in-house corporate professionals at large firms.

New York, NY
hebbia.com
Founded
2020
Headquarters
New York, NY
Type
Private company
Pricing
Enterprise
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Overview

Hebbia is an AI platform built for institutional finance, serving asset managers, investment banks, law firms, and Fortune 500 companies. Founded in 2020 by George Sivulka and headquartered in New York City, the company is backed by investors including Andreessen Horowitz, Peter Thiel, Index Ventures, and Google Ventures. Hebbia's platform, called Matrix, is designed to handle high-stakes financial and legal work with rigor, processing millions of documents and enabling automated workflows. The company reports that firms using Hebbia manage over $30 trillion in assets, and the platform processes an average of 200,000 prompts per day and over 1.5 billion pages.

What it does

Hebbia's Matrix platform is an AI-powered research and analysis tool that reasons over large volumes of documents—such as earnings calls, SEC filings, and private data—to produce client-ready spreadsheets, slides, and reports. It includes automated workflows that encode a firm's processes and run continuously, and a collaborative workspace where teams and AI agents share context. The platform integrates with financial data providers like FactSet, S&P Capital IQ, and PitchBook, as well as document storage systems like SharePoint and Dropbox. Hebbia also offers an API and MCP connector for embedding its document intelligence into internal tools.

Key features

  • Matrix: reason over any volume of documents or companies with precise analysis and traceability
  • Skills & Agents: encode firm processes and run them continuously without manual prompting
  • Projects: shared workspace for co-creating and publishing work with AI agents
  • API & MCP: embed document intelligence into internal tools and workflows
  • Integrations: connect private documents, public filings, and financial data providers
  • Security: ISO/IEC 42001:2023, SOC 2 Type II, end-to-end encryption, no training on user data

Use cases

  • Analyzing hundreds of earnings calls to identify red flags and opportunities
  • Conducting due diligence on deals, reducing review time from hours to minutes
  • Building buyer universes and deal teasers for M&A
  • Creating cash flow builds and financial models
  • Transforming thousands of legal documents into actionable insights
  • Identifying new sales opportunities for corporate teams

Pricing

Enterprise

Pricing is not publicly disclosed; interested parties must book a demo. Third-party sources note non-transparent enterprise pricing.

View current pricing

Pricing is gathered from the company's public pages and may change. Check the vendor's site before buying.

Pros and cons

Strengths

  • Purpose-built for finance with a focus on rigor and precision
  • Handles massive scale—over 1.5 billion pages processed
  • Automates workflows that run continuously, saving significant analyst time
  • Strong security and compliance certifications (ISO 42001, SOC 2 Type II)
  • Integrates with major financial data providers and document storage systems
  • Trusted by leading firms, with $30T AUM represented

Limitations

  • Pricing is not publicly disclosed; enterprise-only with no self-serve option
  • Steep initial learning curve, as noted in third-party reviews
  • Designed for large institutions, not suitable for small teams or individuals

What sets it apart

  • Built specifically for the rigor of institutional finance, not general-purpose AI
  • Unmatched analytical scale with the ability to reason over limitless context
  • Automated workflows that encode a firm's processes and run continuously
  • Strong security and compliance posture with no training on user data

Ecosystem

Integrations

FactSetS&P Capital IQPitchBookPreqinFitchICE Market DataEMMASharePointOneDriveBoxDropboxEgnyte

Notable customers

BlackRockKKRCarlyleCenterviewApogem CapitalOkapi PartnersProvident Healthcare PartnersOHATroutman Pepper Locke

Frequently asked questions

What is Hebbia?

Hebbia is an AI platform built for institutional finance, used by asset managers, investment banks, law firms, and Fortune 500 companies. It processes and analyzes large volumes of documents to support high-stakes decisions.

Who founded Hebbia and when?

Hebbia was founded in 2020 by George Sivulka. The company is headquartered in New York City.

What are Hebbia's main products?

Hebbia's main product is Matrix, an AI platform that includes features like Matrix for document analysis, Skills & Agents for automated workflows, Projects for collaboration, and an API/MCP for integration.

How much does Hebbia cost?

Hebbia does not publicly disclose pricing. It is an enterprise product, and interested parties must book a demo to get a quote.

What security certifications does Hebbia have?

Hebbia is ISO/IEC 42001:2023 certified and SOC 2 Type II compliant. It encrypts data end-to-end, does not train on user data, and is CCPA and GDPR compliant.

Which companies use Hebbia?

Hebbia is used by leading firms including BlackRock, KKR, Carlyle, Centerview, Apogem Capital, Okapi Partners, Provident Healthcare Partners, OHA, and Troutman Pepper Locke.

Sources

This profile was compiled from the company's own pages and public web research.

Last researched August 16, 2026.

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