| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| Independent AI verification and production control layer
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| Stage | Not given
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| Founded | Not given
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| Based in | IN
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Starter: $166/month ($1,990 billed annually) with 12,000 test runs/month, 3 applications, and validated fixes at $25 each. Team: $833/month ($9,990 billed annually) with 55,000 test runs/month and 10 applications. Business: $2,083/month ($25,000 billed annually) with 165,000 test runs/month, 25 appl
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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
| - System Graph mapping of services, dependencies, ownership, and policies
- Verification Engine with 19 verification domains from unit tests to compliance
- Continuous verification and change detection
- Policy-based control and approval workflows
- Durable evidence and audit trails
- AI-assisted remediation with outcome-based billing
- Integration with CI/CD, cloud, and observability tools
- VPC, private cloud, on-prem, and air-gapped deployment
- Identity-first with RBAC and SSO
- Secure Enclave Runner for restricted environments
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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
| - Independent verification separates proposing changes from deciding if available evidence is sufficient
- Model-independent design works with any approved model or deterministic systems alone
- Outcome-based billing charges only for validated fixes that pass verification
- Governance by default with explicit approval, audit, and no shared credentials
- Topology-aware impact analysis using System Graph to recommend validation plans
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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 | 28 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 5 |
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| Citation Flow (Majestic) | 0 | 20 |
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| Referring domains (Majestic) | 1 | 62 |
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FynoLabs
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