| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| AI-powered autonomous QA platform for web, iOS and Android testing
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| Stage | Not given
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| Founded | Not given
| 2023
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| Based in | IN
| CH
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| Pricing model | Contact for pricing
| Contact for pricing
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| Pricing | Not given
| 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
| - Multi-agent AI system that plans, verifies, builds, and self-heals tests
- Natural language test creation from plain English instructions
- Automatic test discovery from URLs, PRDs, Jira tickets, and Figma links
- Self-healing tests that repair when UI changes
- Test organization with hierarchical folders and test suites
- Flexible execution: on-demand, scheduled, and CI/CD-triggered
- Parallel execution across browsers and viewports
- Test results delivered to Slack, Teams, or email
- Test data management with variables, secrets, and assets
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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
| - Tests are created and maintained without code, from plain English descriptions
- Self-healing tests automatically adapt to UI changes without manual rewrites
- Multi-agent system with automatic test planning, generation, verification, and execution
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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 | 26 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 8 |
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| Citation Flow (Majestic) | 0 | 31 |
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| Referring domains (Majestic) | 1 | 73 |
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FynoLabs
Klarent