| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| AI agents that automate game testing and QA
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
| DK
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| Pricing model | Contact for pricing
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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
| - No integration required - test games without SDKs, plugins or code changes
- Plain language test instructions
- Automatic bug report generation with severity scores
- Visual and OCR analysis
- CI/CD pipeline integration
- Support for Android and desktop platforms
- Dynamic gameplay adaptation
- Video, logs and performance data capture
- Custom game-specific model training
- Skill library for player behavior simulation
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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
| - No engineering integration needed - QA teams can automate testing independently
- Visual black-box testing like human testers rather than script-based
- Test in plain language without scripting
- Automatic adaptation to game updates
- Detailed bug reports with visual evidence and severity scores
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 51 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 14 |
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| Citation Flow (Majestic) | 0 | 28 |
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| Referring domains (Majestic) | 1 | 442 |
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FynoLabs