OpenDialog AI 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.
OpenDialog AI compared with Referee.chat
| Detail | 
OpenDialog AI | 
Referee.chat |
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| What it does | Enterprise AI agents for regulated industries including insurance, healthcare, and financial services
| An AI panel debates your goal; a referee rules on re-checkable evidence
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | GB
| Not given
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| 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 | - Selma AI Sales Agent - increases quote conversions
- Rhea AI re-engagement agent - recovers 20% of lost quote journeys
- SAFER framework for secure, transparent and compliant operations
- Enterprise-grade safety controls for regulated industries
- Handles quotations, policy questions, policy changes, re-engagement and claims automation
- Custom agent development capability
- Rapid deployment - results in weeks from discovery to live
- Real-time interaction data analysis for continuous optimization
| - 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 | - Purpose-built for insurance with proven deployment across dozens of customers
- Regulatory compliance built in from design through operation
- Measurable ROI with specific impact metrics delivered in weeks
- Full-service deployment from discovery through optimization with customer success focus
- Specialized agents with proven outcome improvements across specific insurance functions
| - 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 |
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| DR (Domain Rating by Ahrefs) | 41 ▲ +1 (up) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 12 | 0 |
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| Citation Flow (Majestic) | 36 | 13 |
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| Referring domains (Majestic) | 309 | 31 |
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4 details filled in for both companies.
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