| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| On-device moderation that flags hateful, abusive and threatening text in 23 European languages, before the message is sent.
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| Stage | Not given
| MVP
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| Founded | Not given
| Not given
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| Based in | IN
| NL
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Free up to 100k monthly active devices with unlimited inference. Custom licenses available.
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| Key features | - Coding-agent benchmarks in Terminal-Bench and SWE-bench style
- Research reproduction in PaperBench style
- Model evaluation and RLHF with preference ranking
- Long-horizon agent tasks with planning and tool use
- STEM and expert reasoning questions at PhD level
- Trial task scoring before work begins
- Peer review on every item
- Senior reviewer calibration on each batch
- Product design and full-stack development for SaaS and AI
- LLM assistants and voice AI integration
| - Three separate scores: hateful, abusive, threat
- Ten target signals under the hate score: race, color, religion, descent, national or ethnic origin, sexual orientation, gender, disability, age, other
- Runs fully on device with no server calls
- Supports 23 European languages from one model file
- 80MB model size optimized for iOS, Android, and browser
- 0.847 macro F1 accuracy on Multilingual HateCheck
- Warn before message is sent
- Comment triage without infrastructure
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| What makes it different | - One programme lead and point of contact instead of managing hundreds of individual profiles
- Scored trial on your rubric for every expert, not just CV and quiz screens
- Second review on every item plus senior calibration, not just spot checks
- Published quality numbers: 2,500+ tasks authored, 90% acceptance rate, 4.89/5 rating
- Pilot staffing in days with 5 to 10 experts
| - Multilingual support across 23 European languages in a single 80MB model
- Complete privacy with no data leaving the device
- Free access up to 100k monthly active devices with unlimited inference
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ▲ +5 (up) since last check | 37 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 20 |
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| Citation Flow (Majestic) | 0 | 39 |
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| Referring domains (Majestic) | 1 | 616 |
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FynoLabs
Toxic