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
| Detail |
Wilson |
Referee.chat |
| What it does | The AI coworker in your Slack that does the actual work
| An AI panel debates your goal; a referee rules on re-checkable evidence
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Team: $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.
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| 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
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| 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 2 ● no change since last check |
| Trust Flow (Majestic) | 10 | 0 |
| Citation Flow (Majestic) | 12 | 13 |
| Referring domains (Majestic) | 10 | 31 |
5 details filled in for both companies.
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