| What it does | AI agents do the busywork, your team makes the calls
| Outcome verification for AI agents
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | AT
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| Pricing model | Open source
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| Pricing | Not given
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| Key features | - Requirements review agent that checks requirements for testability and clarity
- Test design agent that writes and refines test cases
- UI test execution without scripts or locators
- API test execution with JSON Schema and OpenAPI validation
- Defect reporting with screenshots and logs
- Integrated knowledge base with RAG access to project documentation
- Self-hosted models support including OpenAI-compatible providers
- Connected to Jira, Confluence, and Zephyr
- Supports Linux and Windows operating systems
| - Determines if agents are serving user intents
- Verifies task completion
- Distinguishes between error-free runs and actual user satisfaction
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| What makes it different | - Runs entirely in your infrastructure with self-hosted models, not a SaaS product
- Covers the whole test process from requirements to reporting, end-to-end
- Tests from the screen like a human would, not through code or locators
- Learns from human demonstration and improves over time
- One test case works across any language or UI format without translation files
| - Verifies actual agent outcomes rather than just technical success
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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 | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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QuAIA™
Lilac