| What it does | Managed AI trainers, LLM evaluators and benchmark authors for AI labs and data partners
| No-code AI QA testing for web apps that explores your app, writes end-to-end tests, and reports bugs with screenshots.
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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
| Free trial
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| Pricing | Not given
| Solo: $19/month (100 test executions/month, 2 projects, 30 pages explored/month), Startup: $49/month (260 test executions/month, 5 projects, 80 pages explored/month), Growth: $149/month (800 test executions/month, 15 projects, 250 pages explored/month). Enterprise: Custom pricing. 7-day free trial o
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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 SDK to install or code changes required
- Autonomous test generation covering happy paths and edge cases
- Plain-English tests with self-healing selectors
- Scheduled, CI and GitHub webhook triggered runs
- Works behind login with support for one-time codes
- Supports any web framework via URL
- 99.8% accurate self-healing selectors
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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 tests to write or code to maintain versus managed services and frameworks like Cypress that require manual test authoring
- Self-healing selectors that target elements by context instead of CSS classes that break on markup changes
- Coverage grows continuously from scheduled and CI runs instead of only at release time
- Comprehensive AI exploration discovers edge cases and negative flows that manual QA misses
- Self-serve autonomous testing with transparent pricing versus managed QA contracts
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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 | 5 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 5 |
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| Citation Flow (Majestic) | 0 | 19 |
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| Referring domains (Majestic) | 1 | 30 |
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FynoLabs
TestOptim AI