| What it does | End-to-end platform for data labeling, model training, and deployment of computer vision models
| 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 | Not given
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| Founded | Not given
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| US
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| Pricing model | Not given
| 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 | - AI-powered image annotation with auto-annotation and quality control
- Drag-and-drop model training without code
- Production API deployment in minutes
- Edge and cloud deployment support
| - 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 | - No-code platform makes computer vision accessible to non-technical teams
- 10x faster dataset preparation with AI-assisted annotation
- End-to-end workflow from data to production without switching tools
- Support for diverse vision tasks and data types
- Trusted by over 6000 teams worldwide
| - 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 |
| DR (Domain Rating by Ahrefs) | 38 ▲ +1 (up) since last check | 1 ● no change since last check |
| Trust Flow (Majestic) | 10 | 1 |
| Citation Flow (Majestic) | 40 | 14 |
| Referring domains (Majestic) | 587 | 4 |