| What it does | No-code AI QA testing for web apps that explores your app, writes end-to-end tests, and reports bugs with screenshots.
| Take your AI support bot from 4/10 to 10/10
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| Stage | Not given
| MVP
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| Founded | Not given
| 2026
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| Based in | Not given
| Not given
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| Pricing model | Free trial
| Free trial
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| Pricing | 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
| Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
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| Key features | - 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
| - Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
- Break my bot: 15 adversarial customer scenarios test for vulnerabilities
- Fix it for me: automatically rewrites rule sheet and tests against saved situations
- Train my bot: 30-minute automated training on weak spots with test validation
- GitHub integration: sends improvements as pull requests for engineer approval
- Real chat analysis: identifies problems in actual customer conversations with privacy masking
- Knowledge check: validates bot replies against FAQ and policy documents
- AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
- Open source engine: public GitHub implementation of scoring and testing algorithms
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| What makes it different | - 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
| - Nothing ships without engineer approval: all changes go through GitHub pull request review
- Privacy by default: customer data anonymized, keys encrypted, uploads not stored
- Open source testing engine: full algorithm transparency available on GitHub
- Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
- Unified team experience: one plan covers support, product, and engineering roles
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 9 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 19 | 0 |
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| Referring domains (Majestic) | 30 | 0 |
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TestOptim AI
Rulebook