Referee.chat vs Ace Waves
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Referee.chat compared with Ace Waves
| Detail | 
Referee.chat | 
Ace Waves |
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| What it does | An AI panel debates your goal; a referee rules on re-checkable evidence
| AI agent platform to automate and monetize customer service
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| LT
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| Pricing model | Freemium
| Not given
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| Pricing | 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.
| Not given
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| Key features | - 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
| - Multi-step case resolution including refunds, subscription changes, order disputes
- Native integrations with helpdesk, CRM, order management, billing, and payment tools
- Automated escalation to humans for unclear or sensitive cases
- Revenue optimization through churn prevention and upselling
- Context-aware natural conversation across channels
- Support across full customer journey from pre-purchase to retention
- Voice, chat, email, and social channels in 90+ languages
- Complete decision transparency and traceability logging
- Agent Graph visual system with real-time coordination
- Forward-Deployed delivery with embedded engineers
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| What makes it different | - 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
| - Resolves up to 87% of support cases and cuts costs up to 60%
- Live in weeks, not quarters with no engineering team required
- Pre-trained agents arrive with industry knowledge
- Full visibility with no black box decisions
- Agents reason within guardrails instead of following rigid scripts
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 19 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 6 |
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| Citation Flow (Majestic) | 13 | 29 |
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| Referring domains (Majestic) | 31 | 55 |
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3 details filled in for both companies.
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