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Wilson vs Referee.chat

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Wilson compared with Referee.chat
DetailWilson logo WilsonReferee.chat logo Referee.chat
What it doesThe AI coworker in your Slack that does the actual work An AI panel debates your goal; a referee rules on re-checkable evidence
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingTeam: $29/month with 5,000, 25,000, 50,000, or 200,000 credits per month. Enterprise: Custom pricing with flexible volume credits. Free: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
Key features
  • Generates board decks and reports from live business data
  • Creates live dashboards pulling from connected business tools
  • Builds and deploys internal web applications with databases and logins
  • Writes code and creates pull requests on feature branches
  • Audits marketing spend across multiple platforms
  • Connects to thousands of business applications natively
  • Human-in-the-loop approvals for sensitive actions
  • Scheduled tasks and automated recurring reports
  • Customizable tone and communication style
  • SOC 2, HIPAA and GDPR compliance
  • Panel of up to six AI models from different vendors
  • Referee rules on re-checkable evidence only
  • Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC
  • Executes Python code to verify claims
  • Customizable acceptance standards
  • Matches pause and resume without losing work
  • Shared ledger prevents re-derivation
  • Spending limit per match
What makes it different
  • Never trains on your data with workspace isolation and secured storage
  • Delivers finished artifacts directly in Slack rather than explanations
  • Operates with backend credential injection keeping API keys hidden from models
  • Built on Dynamiq sovereign agentic OS designed for regulated industries
  • Referee decides on evidence, not argument quality
  • Panel from different vendors fails in different directions
  • Stuck is a targeted question, not model thrashing
  • Cost grows with ledger, not round count
  • Published matches become research record
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check2 no change since last check
Trust Flow (Majestic)100
Citation Flow (Majestic)1213
Referring domains (Majestic)1031

5 details filled in for both companies.

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