TensorLinks 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.
TensorLinks AI compared with Referee.chat
| Detail | TA
TensorLinks AI | 
Referee.chat |
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| What it does | AI-powered front desk automation for dental practices and DSOs
| 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 | 2023
| Not given
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| Based in | US
| Not given
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| Pricing model | Free trial
| Freemium
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| Pricing | Starter $399/location/month (AI voice receptionist, 900 voice minutes included, $0.29/minute over); Connect $599/location/month (Starter plus 2-way SMS and web chat, 1,000 voice minutes and 1,500 text messages included, $0.29/minute and $0.06/message over); Growth $799/location/month (all channels p
| 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 | - 24/7 inbound call answering with direct PMS booking
- Automated patient recall campaigns for overdue hygiene and unscheduled treatment
- Integration with 15+ dental practice management systems
- Multi-location dashboard with role-based access and per-clinic configuration
- HIPAA-compliant infrastructure with BAA, end-to-end encryption, and audit logs
- Seamless AI-to-human handoff with call context preserved
| - 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 | - Agentic AI that completes tasks autonomously rather than just answering questions
- Direct PMS integration eliminates manual data entry and ensures real-time patient record updates
- Measurable ROI with 28% fewer missed calls, 39% fewer no-shows, up to 4.6x return on investment
| - 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) | 17 ▲ +1 (up) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 27 | 13 |
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| Referring domains (Majestic) | 64 | 31 |
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5 details filled in for both companies.
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