| What it does | 3D spatial perception and 4D radar-vision fusion for autonomous machines and robotics
| 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 | 2001
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| Based in | CA
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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 | - 3D and 4D spatial perception with radar-vision fusion
- 20× faster annotation, 100× quicker ground truth generation, 4× faster training
- Support for NVIDIA Jetson, NXP processors, and embedded platforms
- Object classification, 2D/3D detection, instance and semantic segmentation
- Au-Zone Maivin vision module for object detection and segmentation
- Au-Zone Raivin 4D imaging radar with camera for challenging conditions
- Reliable perception in dust, fog, rain, and darkness
| - 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 | - Industry-first low-level radar-vision fusion engine
- Deploy from development to production in months instead of years
- Over 20 years of embedded engineering expertise
- Field-ready hardware modules optimized for cost, performance and reliability
- Seamless path from development to deployment with ready-to-use modules
| - 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) | 29 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 21 | 1 |
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| Citation Flow (Majestic) | 18 | 14 |
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| Referring domains (Majestic) | 22 | 4 |
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Au-Zone Technologies
Backloop