| What it does | Simulated clinical worlds for machines to practice medicine
| An API that verifies each RAG response against its sources
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| 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 | - Deterministic physiology engine with exact replay
- Worlds that mutate between runs for varied scenarios
- Performance, safety and cost scoring
- Support for multiple agents and robots in shared environments
- Clinical scenarios from ICU to trauma chains
- Temporal outcome grading instruments
| - 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 | - Only platform providing deterministic, replayable clinical simulations for AI agents and robots
- Purpose-built for frontier AI labs, clinical agent builders, medical robotics and military medicine
- Comprehensive scoring across performance, safety and cost metrics
| - 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) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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Damaros
WYRLO