| What it does | Independent auditing for AI agents
| Encoding Human Expertise into Machines
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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
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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
| - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
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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
| - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
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| Community votes | 0 | 1 |
| DR (Domain Rating by Ahrefs) | 13 ▼ −1 (down) since last check | 27 ● no change since last check |
| Trust Flow (Majestic) | 11 | 4 |
| Citation Flow (Majestic) | 31 | 32 |
| Referring domains (Majestic) | 156 | 264 |