| What it does | AI solutions for radiology: fracture detection, chest abnormalities, measurements, and bone age assessment
| Prompt injection protection for AI agents
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| Stage | Established
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| Founded | 2018
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| Based in | FR
| GB
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| Pricing model | Not given
| Freemium
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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
| - Scans tool output, documents, web pages and email
- Multi-layered detection cascade with heuristics and deeper analysis
- Policy Studio for rule management and versioning
- Evidence and investigation tools showing detector signals and matched spans
- SIEM export to Splunk, QRadar, Sentinel and Elastic
- Python and TypeScript SDKs
- HTTP API and webhook support
- Mandatory two-factor authentication
- Knowledge bucket scanning for RAG pipelines
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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
| - Same detection quality across all plans—no features held back at lower tiers
- Transparent benchmarking with published methodology and confidence intervals
- Model-agnostic, provider-agnostic architecture works with any AI model or framework
- In-process detection with 23 ms median latency on default engine
- Free tier with 5 million characters per month, no card required
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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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