| What it does | Independent verification for AI agent outcomes
| AI agents do the busywork, your team makes the calls
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| Stage | Startup
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| Founded | Not given
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| Based in | Not given
| AT
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| Pricing model | Freemium
| Open source
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| Pricing | Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
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| Key features | - Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
- First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
- MCP integration with Claude Code, Cursor, and any MCP host
- GitHub Actions required check that fails on unverified claims
- Audit trail storing claims, evidence, and verdicts separately
- Capability inspection before agents call tools
- Read-only credential access with AES-256-GCM encryption
- Continuous monitoring with watches every 5-10 minutes on Pro plan
- Evidence retention for 7 days on Hobbyist, 1 year on Pro
| - 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
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| What makes it different | - Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
- Neutral gate between agent execution and success verification
- Runs the same way in production as in development
- Never needs write access, only reads authoritative state
- Structured audit trail for debugging and agent evaluation
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 23 | 0 |
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| Referring domains (Majestic) | 14 | 0 |
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DidWork
QuAIA™