| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| Reliability monitoring for autonomous agent systems
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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
| Paid
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| Pricing | Not given
| Fixed-fee pilot of about a month credited against the first year if continuing. Annual subscription after pilot in three tiers: Map, Gate, or Continuous.
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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
| - Detects agents built but never connected
- Identifies work that silently stops between agents
- Catches judges that grade incorrectly
- Prevents changes shipping past broken tests
- Detects identity and data drift
- Measures self-repair behavior
- Works with any model and framework
- Read-only connector with no system changes
- Deployment pipeline gate with pass/fail status
- Encrypted data transmission and on-premises options
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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
| - Finds failures that never raise an alarm
- Built and proven on real production systems, not theory
- Read-only connector never changes your system
- Works with any model without depending on model vendor
- First findings within a week of pilot start
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 2 ▼ −3 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 0 | 0 |
| Citation Flow (Majestic) | 0 | 0 |
| Referring domains (Majestic) | 1 | 0 |