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Hebbia vs Signal87 AI

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

Higher Trust score
Hebbia — 90 vs 76 for Signal87 AI
Best fit
Hebbia: Private equity, credit and banking teams running diligence across hundreds of documents at once · Signal87 AI: Government contractors and legal teams that need citation-backed answers across large document vaults
Status
Both up at our last check — Hebbia Sep 6, 2026, Signal87 AI Oct 14, 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

HebbiaGrid-based AI analysis that runs the same questions across thousands of documents for finance and legal teamsSignal87 AIEnterprise document intelligence that extracts entities, dates, and risk indicators with page-level citations.

Side by side

FactHebbiaSignal87 AI
CategoryEnterprise SearchEnterprise Search
Pricing modelContactContact
Trust score90 / 10076 / 100
PlatformsWebWeb
CompanyHebbiaSignal87 AI
Launched—2025
Last verifiedSep 6, 2026Oct 14, 2026

What our research says

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

Signal87 AI

Signal87 leans hard on traceability: every extracted fact and every chat answer is supposed to link back to a specific page in a specific document, which matters for legal and government-contract work where an unsupported answer is a liability. It's early-stage (founded 2025) with no public pricing, so buyers are evaluating a young vendor without a published track record.

Pros

  • Every extracted fact ties back to a page-level citation in the source document
  • Handles mixed formats — PDFs, Word, Excel, and scanned files — in one vault
  • Multi-document features generate briefings, timelines, and comparison reports, not just single-doc summaries
  • ARIA assistant is grounded only in the uploaded vault, reducing made-up answers

Cons

  • No public pricing — every deal starts with a sales conversation
  • Founded in 2025, so there is little independent track record to check
  • Positioned for enterprise/government buyers, overbuilt for casual document Q&A

Which one fits

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

Choose Signal87 AI if you need

  • Government contractors and legal teams that need citation-backed answers across large document vaults
  • Enterprise teams tired of manually cross-referencing PDFs, contracts, and scanned files

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