| What it does | Open-source AI security verification
| AI solutions for radiology: fracture detection, chest abnormalities, measurements, and bone age assessment
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| Stage | Not given
| Established
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| Founded | Not given
| 2018
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| Based in | Not given
| FR
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| Pricing model | Open source
| Not given
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| Pricing | 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
| - Fracture detection on X-rays
- Chest abnormality detection
- Automated osteo-articular measurements
- Bone age assessment
- Lung nodule detection on CT scans
- Native PACS workflow integration
- Diagnostic decision support
- Real-time image analysis
- CE-marked and FDA-cleared products
- SOC 2, GDPR, and HIPAA compliance
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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
| - 83% reduction in turnaround time for radiologists
- 67% reduction in false negatives
- Used by over 2,500 healthcare facilities across 55+ countries
- Rigorously validated with world-leading institutions and peer-reviewed publications
- Analyzed over 15 million X-rays in the last 12 months
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 55 ● no change since last check |
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| Trust Flow (Majestic) | 2 | 14 |
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| Citation Flow (Majestic) | 21 | 35 |
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| Referring domains (Majestic) | 22 | 235 |
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Guardana