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Capitol.ai vs Hebbia

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Best fit
Capitol.ai: Diligence and research teams that must show their work · Hebbia: Private equity, credit and banking teams running diligence across hundreds of documents at once
Trust score
About even — Capitol.ai 86, Hebbia 90
Status
Both up at our last check (Sep 6, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Capitol.aiGoverned AI workflows that turn institutional data into sourced, auditable deliverablesHebbiaGrid-based AI analysis that runs the same questions across thousands of documents for finance and legal teams

Side by side

FactCapitol.aiHebbia
CategoryAI Workflow BuildersEnterprise Search
Pricing modelContactContact
Trust score86 / 10090 / 100
PlatformsWebWeb
CompanyCapitol AIHebbia
Launched2021—
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Capitol.ai

Built around the part enterprise buyers actually argue about — lineage, approvals and an audit trail on every generated artifact — rather than chat quality. The catch is that it is a procurement-shaped purchase: no price, no trial, and value depends on connecting your governed data sources first.

Pros

  • Outputs carry sources, steps, approvals and review by design
  • Model-agnostic across commercial and open-weight models
  • Search, transcription, spreadsheets, decks and publishing are built in
  • Runs against data where it already lives instead of re-uploading files

Cons

  • No public pricing, trial or self-serve entry point
  • No documented public API on the marketing site
  • Governance value is unverifiable without a pilot

Hebbia

Hebbia is the tool to shortlist when a deal team needs the same forty questions answered across a data room, with every cell traceable to a source page, and the customer logos say the big banks and law firms have already bought in. It is not something an individual analyst or a small shop can simply sign up for, and with no public price the cost of entry is whatever the sales team decides it is.

Pros

  • Matrix turns document analysis into a spreadsheet-like grid that scales to thousands of files
  • Native connectors to FactSet, S&P Capital IQ, PitchBook, SharePoint and Box, not just file upload
  • Customer logos include Morgan Stanley, Centerview and Latham & Watkins, which signals the vendor passed heavy security review
  • Backed by a16z, Index Ventures, GV and Peter Thiel, so the company is unlikely to disappear mid-contract

Cons

  • No public pricing, trial or self-serve path; everything runs through a demo request
  • No legal entity, address or governing law stated on the terms page, which is unusual for an enterprise vendor
  • No public API documentation found, so integration beyond the listed connectors is a sales conversation
  • Output quality on sample pages is vendor-curated and not independently verifiable

Which one fits

Choose Capitol.ai if you need

  • Diligence and research teams that must show their work
  • Regulated firms needing outputs traceable back to approved sources
  • Public sector analysis across fragmented record systems

Choose Hebbia if you need

  • Private equity, credit and banking teams running diligence across hundreds of documents at once
  • Law firms doing contract review where each answer must cite its source page
  • Corporate strategy and research groups combining filings, transcripts and licensed data in one workspace

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