Supermoon 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.
Supermoon compared with Referee.chat
| Detail |
Supermoon |
Referee.chat |
| What it does | AI Experiences Your Customers Can Trust
| 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 | Not given
| 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 | - Voice and multimodal AI for noisy, dynamic environments
- Smart glasses and wearable device support including Meta Glasses SDK
- Personalization and memory across sessions
- Enterprise integrations and APIs for scheduling and operations
- Brand safety and moderation with Red and Green teaming
- Data protection with customer data kept within enterprise walls
- Real-time contextual guidance and recommendations
- Real-time routing based on location and wait times
- Multilingual support
- Clinical context capture across mobile, wearable, and ambient inputs
| - 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 | - Operates reliably in real-world environments where scale, safety, and reliability matter most
- Early access to Meta Glasses SDK for hands-free AI experiences
- Customer data stays within enterprise, not with platform vendor or model providers
- Designed for enterprise scale with Fortune 500 deployment experience
- Clinical AI that works without changing how clinicians work
| - 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) | 33 ● no change since last check | 2 ● no change since last check |
| Trust Flow (Majestic) | 5 | 0 |
| Citation Flow (Majestic) | 33 | 13 |
| Referring domains (Majestic) | 168 | 31 |
3 details filled in for both companies.
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