| What it does | Independent AI verification and production control layer
| Take your AI support bot from 4/10 to 10/10
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| Stage | Not given
| MVP
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| Founded | Not given
| 2026
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| Based in | Not given
| Not given
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| Pricing model | Freemium
| Free trial
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| Pricing | 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
| Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
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| Key features | - 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
| - Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
- Break my bot: 15 adversarial customer scenarios test for vulnerabilities
- Fix it for me: automatically rewrites rule sheet and tests against saved situations
- Train my bot: 30-minute automated training on weak spots with test validation
- GitHub integration: sends improvements as pull requests for engineer approval
- Real chat analysis: identifies problems in actual customer conversations with privacy masking
- Knowledge check: validates bot replies against FAQ and policy documents
- AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
- Open source engine: public GitHub implementation of scoring and testing algorithms
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| What makes it different | - 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
| - Nothing ships without engineer approval: all changes go through GitHub pull request review
- Privacy by default: customer data anonymized, keys encrypted, uploads not stored
- Open source testing engine: full algorithm transparency available on GitHub
- Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
- Unified team experience: one plan covers support, product, and engineering roles
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 20 | 0 |
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| Referring domains (Majestic) | 62 | 0 |
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