| What it does | Open-source AI security verification
| Search, visualize, curate, and label multimodal data for physical AI models
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| Stage | Not given
| Established
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| Founded | Not given
| 2018
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| Based in | Not given
| US
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| Pricing model | Open source
| Paid
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| Pricing | Not given
| Not given
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Natural language search across datasets
- Synchronized multimodal playback with video, 3D, sensors, and maps
- Automated annotation quality assurance
- VLM-assisted labeling and active learning
- Agentic data work automation
- Model evaluation and failure pattern detection
- Dataset versioning and comparison
- Support for billions of samples
- Role-based access controls and SSO
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Unified platform keeps data iteration continuous across the entire workflow
- Search and curate across multimodal data types in one place
- Agentic workflows automate repetitive data tasks
- Built on open source FiftyOne toolkit
- Deployed in regulated industries with full compliance and governance controls
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 70 ● no change since last check |
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| Trust Flow (Majestic) | 2 | 23 |
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| Citation Flow (Majestic) | 21 | 47 |
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| Referring domains (Majestic) | 22 | 1128 |
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Guardana
Voxel51