The Engine Showcase
Evaluate our foundation models. Access the registry, run simulated inferences, and review our clinical benchmarks against generic architectures.
Model Registry
Nano Triage
Ultra-lightweight edge model designed for wearable integration (Apple Watch, Whoop). Capable of realtime classification of 12 common arrhythmias with 99.1% sensitivity.
Clinical Compute
Hospital-grade diagnostic engine. Can identify subtle ischemia, structural abnormalities, and predict imminent AFib onset from standard 12-lead clinical ECGs.
Vision Assist
Multimodal visual reasoning model for Cath Lab environments. Quantifies plaque burden and stenosis severity in real-time during fluoroscopy.
Interactive Playground
Test our inference API directly. The engine returns structured JSON containing diagnostic assessments, confidence intervals, and the critical explainability layer.
Performance Benchmarks
Compared against generic multimodal models (GPT-4V, Med-PaLM), our specialized architecture achieves higher clinical accuracy with a fraction of the compute footprint.