| What it does | Independent auditing for AI agents
| Independent AI verification and production control layer
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| Stage | Not given
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| Founded | Not given
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| Based in | 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.
| Starter: $166/month ($1,990 billed annually) with 12,000 test runs/month, 3 applications, and validated fixes at $25 each. Team: $833/month ($9,990 billed annually) with 55,000 test runs/month and 10 applications. Business: $2,083/month ($25,000 billed annually) with 165,000 test runs/month, 25 appl
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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
| - System Graph mapping of services, dependencies, ownership, and policies
- Verification Engine with 19 verification domains from unit tests to compliance
- Continuous verification and change detection
- Policy-based control and approval workflows
- Durable evidence and audit trails
- AI-assisted remediation with outcome-based billing
- Integration with CI/CD, cloud, and observability tools
- VPC, private cloud, on-prem, and air-gapped deployment
- Identity-first with RBAC and SSO
- Secure Enclave Runner for restricted environments
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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
| - Independent verification separates proposing changes from deciding if available evidence is sufficient
- Model-independent design works with any approved model or deterministic systems alone
- Outcome-based billing charges only for validated fixes that pass verification
- Governance by default with explicit approval, audit, and no shared credentials
- Topology-aware impact analysis using System Graph to recommend validation plans
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 14 ● no change since last check | 28 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 5 |
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| Citation Flow (Majestic) | 31 | 20 |
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| Referring domains (Majestic) | 156 | 62 |
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