| What it does | Independent auditing for AI agents
| Feature flags, A/B tests, guardrails and LLM experiments for web and React Native
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| TR
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| Pricing model | 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
| - Feature flags and rollouts
- A/B testing and experiments
- AI configs for LLM experiments
- Guardrails to protect metrics
- Goals and metrics tracking
- Audience targeting
- Results and statistics analysis
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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
| - In-process decisions add no latency to requests
- One client server serves every request with background datafile updates
- Batch event collection for efficiency
- LLM experiment and AI config testing capabilities
- Server-side processing for multiple users simultaneously
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 15 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 31 | 0 |
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| Referring domains (Majestic) | 156 | 0 |
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