Hebbia

Purpose-built AI that analyzes vast document sets for institutional finance teams.

Data verified Sep 11, 2026

Pundit
Score

Price: ~$10,000/seat
Best for: Investment Bankers

About Hebbia

Hebbia is an AI platform built for institutional finance and professional-services work, used by investors, investment bankers, lawyers, consultants, and Fortune 500 firms to search, extract, and analyze information across huge collections of documents and financial data. Its signature Matrix interface lets teams run structured, cited analysis across thousands of files at once, while its Max agent automates analyst-level research tasks. What sets it apart is the depth of connected finance data sources (SEC filings, FactSet, S&P Capital IQ, PitchBook and more) combined with document-grounded, source-cited outputs aimed at deal and diligence workflows.

Screenshots

Commonly Cited Strengths & Limitations

Strengths

Strong at document management and data extraction across complex financial documents
Matrix functionality helps structure analysis of large document sets
Source-cited, document-grounded outputs

Limitations

Widely reported as very expensive, with pricing only available via a sales demo
No self-serve or free tier; requires a long-term, per-seat contract
File management and organization could be improved
Missing features noted by users such as chat history, export to Word/PDF, and some basic functions
Certain integrations (e.g. drive and Excel) reported as early or not working well enough
Matrix can pull wrong data when a document's format varies across time
Cost and enterprise focus put it out of reach for individuals and small teams

Common Use Cases

Analyzing and extracting data across large financial document sets
Deal diligence and sell-side/buy-side advisory work
Reviewing SEC filings, earnings transcripts, and market data
Building structured comparison matrices from financial documents
Automating analyst research tasks across a deal team

Details

Pricing Model: Contact Sales
Starting Price: ~$10,000/seat
Team Size: Enterprise
Category: FinTech

Who is Hebbia for?

Investment Bankers

Use Hebbia to run diligence across thousands of deal files and build cited analyses for advisory mandates.

Investors

Analyze filings, transcripts, and market data to support investment research and decisions.

Lawyers

Review and query large document sets with source-grounded answers for legal work.

Consultants

Extract and synthesize information across many documents and data sources for client analysis.

Frequently Asked Questions

How much does Hebbia cost?

Hebbia starts at ~$10,000/seat (Contact Sales).

Does Hebbia have an API?

Hebbia does not currently offer a public API.

What does Hebbia integrate with?

Hebbia integrates with SEC Filings, Earnings Transcripts, European Filings, UK Companies House, Australia and NZ Filings, FactSet, S&P Capital IQ, PitchBook, and more.

Is Hebbia cloud-based or self-hosted?

Hebbia is offered as a cloud-based (SaaS) deployment.

What are the downsides of Hebbia?

Widely reported as very expensive, with pricing only available via a sales demo Also, No self-serve or free tier; requires a long-term, per-seat contract

Who is Hebbia best for?

Hebbia is best suited for Investment Bankers, Investors, Lawyers.

What can I use Hebbia for?

Common uses for Hebbia include analyzing and extracting data across large financial document sets, deal diligence and sell-side/buy-side advisory work, reviewing sec filings, earnings transcripts, and market data, building structured comparison matrices from financial documents.

How does Hebbia compare to AlphaResearch?

Hebbia and AlphaResearch are both used for fintech -- specifically investment-research-tools. See the full side-by-side comparison for pricing and feature differences.