| What it does | Independent auditing for AI agents
| AI code review and codebase risk assessment for apps built by AI tools
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Startup: 2 audits/reports per month, up to 3 agents. Growth: 4 audits/reports per month, up to 3 agents. Enterprise: 8 audits/reports per month, up to 3 agents. Agentic Enterprise: custom quote, 4+ agents. Free open-source: 60 inspections, self-hosted.
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| Key features | - Multidimensional audit covering AI red teaming, operational assurance, philosophical, ethical and sociological dimensions
- Tests for prompt injection, policy violation, tool invocation governance, and authorization
- Assesses epistemic integrity, reality grounding, and frankness
- Evaluates fairness governance and vulnerable user care
- Analyzes stakeholder conflict, influence and systemic risk
- Connect through GitHub or MCP with no manual setup required
- Generates audit reports with evidence and proof of agent behavior
- Open-source engine available for self-hosting
- Detects information hiding, unauthorized decision override, and unauthorized actions
| - Assessment across twelve domains
- Readiness score and levels
- GitHub repository integration
- Security and secrets scanning
- Architecture and code quality evaluation
- Open source license analysis
- Data privacy compliance assessment
- Reactabot AI assistant for follow-up questions
- Shareable technical readiness report
- Effort and remediation guidance
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| What makes it different | - Truly independent auditing through outside panel judgment, never internal self-inspection
- Off-the-shelf integration with no manual eval harness or SDK embedding required
- Covers five dimensions of trust: purpose, authority, workflows, responsibility and evidence
- Measures beyond performance to identify misalignment across red teaming, operational, philosophical, ethical and sociological categories
| - Assesses AI-generated code across twelve domains including security, architecture, and technical debt
- Readiness score understandable by non-technical decision makers
- Read-only GitHub integration that never modifies repositories
- Grounded findings with evidence and severity classification
- Works with any AI builder that pushes to GitHub
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 14 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 11 | 3 |
| Citation Flow (Majestic) | 31 | 17 |
| Referring domains (Majestic) | 156 | 5 |