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Hebbia

Matrix: AI agents that read millions of documents for finance and legal teams.

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About

Hebbia's Matrix is an AI platform where analysts run agents over huge document sets — filings, data rooms, contracts, transcripts — and get structured, citation-backed answers in a spreadsheet-like grid.

It is used across investment banking, private equity, and asset management for M&A diligence, investment research, and memo drafting, with integrations into FactSet, PitchBook, and Snowflake. The company has raised over $160M and integrated OpenAI models into Matrix. Pricing is enterprise-only and unpublished (third parties report several thousand dollars per user per year), so this is institutional software, not a retail tool.

What it can do

  • Multi-agent document analysis at scale
  • Natural-language queries with source citations
  • Spreadsheet-style Matrix interface
  • M&A diligence and investment research workflows
  • Integrations with FactSet, PitchBook, Snowflake
  • SOC 2 Type II, no training on customer data

Setup

  1. Contact Hebbia sales for an enterprise evaluation.
  2. Upload or connect your document corpus.
  3. Define analysis prompts as columns in the Matrix grid.
  4. Run agents across the document set and review cited answers.
  5. Export structured results into memos and models.

Prerequisites

An enterprise Hebbia contract; large document sets to analyze.

Use cases

researchdataautomation

Works with

Any agent (.md)

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Raised $160M+ (a16z, Index, GV, Thiel); OpenAI models integrated into Matrix in 2025; Used by large asset managers and investment banks for diligence and research; Enterprise-only pricing, unpublished; closed, cloud-only platform. License: Proprietary enterprise; pricing via sales (third parties report ~$3k-10k/user/yr)..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
8.0/10
Maintenance · recency, releases, issue load
8.0/10
Openness · license + docs
3.0/10
Manual review · sanity read + red-flag check
7.0/10
  • · Raised $160M+ (a16z, Index, GV, Thiel); OpenAI models integrated into Matrix in 2025
  • · Used by large asset managers and investment banks for diligence and research
  • · Enterprise-only pricing, unpublished; closed, cloud-only platform

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.