| What it does | AI solutions for radiology: fracture detection, chest abnormalities, measurements, and bone age assessment
| An API that verifies each RAG response against its sources
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| Stage | Established
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| Founded | 2018
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| Based in | FR
| FR
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
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| Key features | - 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
| - Response verification against source documents
- Confidence levels: certain, probable, or I don't know
- Nightly automatic improvements with proof
- REST API with coming Python and TypeScript SDKs
- LangChain and LlamaIndex integration support
- MCP server integration option
- Data hosted in Paris, Europe
- Full verification in French and English
- Graceful degradation if API fails
- User data never used for AI training
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| What makes it different | - 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
| - Honest "I don't know" instead of hallucinated answers
- Proven improvements: 31 out of 32 correct on sealed test set
- Drops in after your existing RAG: one API call only
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 55 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 14 | 0 |
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| Citation Flow (Majestic) | 35 | 0 |
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| Referring domains (Majestic) | 235 | 0 |
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WYRLO