| What it does | Not given
| Encoding Human Expertise into Machines
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| Stage | Startup
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| Founded | 2026
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| Based in | GB
| US
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| Pricing model | Freemium
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| Pricing | Free assessment, report and certificate. Optional: AI Fluency Map ($19 one-time), AI Coach ($19/month after 7-day free trial), Master bundle ($49). Employer assessment credits at $10 each.
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| Key features | - Conversational assessment format that adapts to candidate answers
- Scoring across 5 dimensions and 11 criteria
- Evidence-based scoring with quotes from conversation
- Free AI certificate verifiable on LinkedIn
- Published rubric for assessment transparency
- Role-specific assessment paths for developers, product managers, designers and data scientists
- Second model review of full transcript before results issued
- Multi-language support including voice dictation in 14 languages
- AI Fluency Index tracking population benchmarks quarterly
| - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
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| What makes it different | - Conversational assessment tests actual AI usage rather than recall through quiz-style questions
- High score reliability with 98% of retakers landing in same or adjacent tier
- Completely free assessment, report and certificate with no gating or upsell required
- Anti-gaming design with separate conversation and scoring systems plus integrity checks
| - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
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| Community votes | 0 | 1 |
| DR (Domain Rating by Ahrefs) | 45 ▼ −1 (down) since last check | 27 ● no change since last check |
| Trust Flow (Majestic) | 24 | 4 |
| Citation Flow (Majestic) | 31 | 32 |
| Referring domains (Majestic) | 239 | 264 |