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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
DetailSupermoon logo SupermoonReferee.chat logo Referee.chat
What it doesAI Experiences Your Customers Can Trust 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 modelNot given Freemium
PricingNot 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.
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
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
Community votes00
DR (Domain Rating by Ahrefs)33 no change since last check2 no change since last check
Trust Flow (Majestic)50
Citation Flow (Majestic)3313
Referring domains (Majestic)16831

3 details filled in for both companies.

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