| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| AI code review and codebase risk assessment for apps built by AI tools
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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
| Freemium
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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
| - Assessment across twelve domains
- Readiness score and levels
- GitHub repository integration
- Security and secrets scanning
- Architecture and code quality evaluation
- Open source license analysis
- Data privacy compliance assessment
- Reactabot AI assistant for follow-up questions
- Shareable technical readiness report
- Effort and remediation guidance
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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
| - Assesses AI-generated code across twelve domains including security, architecture, and technical debt
- Readiness score understandable by non-technical decision makers
- Read-only GitHub integration that never modifies repositories
- Grounded findings with evidence and severity classification
- Works with any AI builder that pushes to GitHub
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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 | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 3 |
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| Citation Flow (Majestic) | 0 | 17 |
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| Referring domains (Majestic) | 1 | 5 |
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FynoLabs