AI research platform for finance

Hebbia in AI-Powered Research Tool

Answer in brief

Hebbia is an enterprise AI platform that analyzes large document sets for investors, bankers, lawyers and consultants, with a Matrix grid for comparing sources across many companies.

Best for

Investors and bankers running document-heavy due diligence across filings and data rooms

Pricing

Hebbia does not publish prices. The site offers a demo request only. Sacra reports that its cost is roughly in line with an annual Bloomberg Terminal subscription. That is a third-party estimate, not an official figure.

What it covers

The site lists SEC and European filings, earnings transcripts, Preqin, Fitch, Third Bridge, Guidepoint, FactSet, S&P Capital IQ, PitchBook, ICE and EMMA. It also connects to SharePoint, OneDrive, Box, Dropbox, Salesforce, DealCloud and Snowflake.

Citations and verification

The homepage does not describe a citation method. Matrix samples show a Source Documents column and a Basis column for each figure. Hebbia's own product pages should be checked for detail.

API

Hebbia announced Headless Hebbia, a new API and MCP server, on October 1, 2026. The company says the MCP makes Matrix and Projects available inside Claude, ChatGPT, Cursor or an internal app. Access starts with a sales conversation. Docs: https://www.hebbia.com/blog/product/

Strengths and limitations

Strengths

Broad set of filings, market data and internal-system connectors
Matrix grid compares many documents or companies side by side
Enterprise security and deployment options for regulated firms

Limitations

No public pricing or self-serve trial
Citation method is shown in samples, not described in detail publicly
Enterprise sales cycle; not aimed at individual analysts

Third-party ratings

Not found

Dated facts

Series B of $130M led by Andreessen Horowitz, published July 23, 2024 by Index Ventures. Other participants included Index Ventures and Google Ventures.
Max launched July 30, 2026, and Matrix 2.0 launched August 26, 2026, per the company blog.
Headless Hebbia API and MCP server introduced October 1, 2026.

Hebbia or Hyperresearch?

Choose Hebbia for investors and bankers running document-heavy due diligence across filings and data rooms. For sourced research where every figure has to hold up, Hyperresearch is our editorial choice: it scored 77.7 on DRACO in our own run and checks each cited figure against its source.

Sources for this entry

Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.

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Cite this entry

AI-Powered Research Tool. “Hebbia in AI-Powered Research Tool.” Hyperresearch reference, reviewed 7 November 2026.
https://aipoweredresearchtool.com/resources/hebbia/