| What it does | Enterprise AI system of record for governing and operationalizing AI at scale
| Catch where AI agents get stuck on your API or MCP server, rank problems by impact, and draft fixes as pull requests
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| Stage | Established
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| Founded | 2018
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| Based in | US
| US
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| Pricing model | Contact for pricing
| Freemium
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| Pricing | Not given
| Open source: free. Team: $199/month with 14-day free trial (1 API or MCP service, 25,000 reports/month, 15 coding-agent runs/month). Business: $799/month (up to 3 services, 250,000 reports/month, 60 coding-agent runs/month). Extra coding-agent runs: $6 each.
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| Key features | - Centralized system of record across every model, solution, and agent
- Automated workflows with governance embedded by design
- Full portfolio visibility into cost, tokens, risk and ROI
- Dynamic interoperability across 50+ technologies
- Connective automation for IT, business, and AI owners
- Agentic-powered framework for end-to-end AI lifecycle workflows
- Operational intelligence across ML, GenAI, agentic and vendor AI
- Audit-ready evidence mapped to every regulation and policy
| - Session replay for MCP servers to identify failed agent sessions
- Clustering reports by agent goals and workflows
- Priority ranking weighted by frequency, failed workflows, and affected accounts
- Claude Code generates pull requests with tests
- Review queue with diff, tests, agent reports, and evidence
- Isolated git worktree prevents unauthorized code push
- Schema validation and rate limiting for feedback
- Open Agent Feedback Protocol with TypeScript and Python SDKs
- GitHub integration for draft PR creation
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| What makes it different | - Brings ML, GenAI, and agentic AI to production 10× faster
- System of record that unifies every AI asset in one place
- Reduces time from idea to production to weeks at industrial scale
- Enforces policy and governance at delivery time, not in committee
- Operates above existing systems without replacing them
| - Only AI agent failures on successful HTTP responses get detected and ranked
- Automated pull request drafts with your approval required before shipping
- Session replay captures failures even when agents don't report them
- Pay only for coding-agent runs, not feedback submission
- Open protocol and SDKs can be self-hosted at no cost
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 62 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 1 |
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| Citation Flow (Majestic) | 39 | 14 |
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| Referring domains (Majestic) | 579 | 4 |
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ModelOp
Backloop