⚖️Side-by-Side Comparison

Hebbia vs Dia: Which is Better in 2026?

We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.

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Feature
Hebbia logo
Hebbia

FinTech

Dia logo
Dia

Productivity & Automation

RatingNo reviews yetNo reviews yet
Pricing
  • Professional:~$10,000/seat/yr

as of Sep 11, 2026

  • Better Days:Contact Sales
  • Dia for Work:Contact Sales

as of Nov 7, 2026

Pricing ModelContact SalesFree
Free Plan
Free TrialYes
API Available
Verified
Founded——
HQ—New York, NY, USA
Team SizeEnterpriseIndividuals, Small Business, Mid-market
Platforms——
Top Integrations
SEC FilingsEarnings TranscriptsEuropean FilingsUK Companies House+24 more
SlackNotionTeamsGSuite+1 more
Key Features
  • Matrix
  • Max
  • Deal team collaboration
  • Connected data sources
  • Document-grounded, cited outputs
  • Morning Brief
  • Synthesis
  • Cross-context Answers
  • Profiles
  • Live Work
  • +7 more
Description

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.

Dia is an AI-native browser from The Browser Company (creators of Arc) that integrates with tools like Slack, Notion, Calendar, Gmail, and GitHub. It generates morning briefs, pulls together information spread across tabs and apps, answers context-aware questions about on-screen content, and helps users prepare for meetings. Aimed at knowledge workers, it is currently available only on macOS.