| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| Make your site work for agents
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
| US
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| Pricing model | Contact for pricing
| Free
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| Pricing | Not given
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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
| - Automated and live agent simulations
- Journey - agent task recording
- Terminal-based audit tool
- Four-layer scoring system
- Real agent simulations from multiple platforms
- MCP server scoring
- Web research and registry checks
- Agent readiness research and monitoring
- API access with no authentication required
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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
| - First standard measuring how well agents can use websites
- Tests with real agents from ChatGPT, Claude, and other platforms
- Founded by creators of agent standards at Anthropic and OpenAI
- Open standard with industry partnerships
- Public research on web agent readiness
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| Community votes | 0 | 2 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 59 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 22 |
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| Citation Flow (Majestic) | 0 | 46 |
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| Referring domains (Majestic) | 1 | 811 |
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FynoLabs
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