| What it does | Test LLMs on your own tasks before you switch models
| Simulated clinical worlds for machines to practice medicine
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Paid
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| Pricing | Standard: $99 one-time for 2 machines, including 1 year of updates. Pro coming soon.
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| Key features | - Benchmark any OpenRouter model on your own prompts, CSVs or Hugging Face datasets
- Rubric-based scoring by AI judge, by hand, or both
- Cost per answered task with retries and caching
- Time to first token and output tokens per second per call
- Shareable reports in HTML, CSV and JSON formats
- Compare up to three past benchmarks side by side
- Hard spending cap per run
- Fully self-hosted on your machine
- No SDK or code changes required
| - 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
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| What makes it different | - Tests your own tasks with real data instead of generic benchmarks
- Comes before integration with no SDK or code changes needed
- Reports actual cost per answered task including retries and caching
- Entirely self-hosted with data never leaving your machine
- One shareable report with every answer and judge reasoning
| - 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
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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) | 16 | 0 |
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| Referring domains (Majestic) | 3 | 0 |
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orbench
Damaros