SFM-ECG-1.5B Now Available for Clinical Trial

Medical Reasoning
Infrastructure.

Not a point-solution app. We build the foundational clinical compute engine for the next generation of medical intelligence.

The Engine vs. The Data

Our architecture decouples raw clinical signals from complex reasoning workflows, enabling scalable, modality-agnostic diagnosis.

Raw Modalities

Continuous ingestion of multi-channel ECG, Angiograms, and clinical telemetry.

Central Reasoning Engine

Transformer-based mathematical validation of structural and electrical anomalies.

Structured Outputs

Actionable JSON, triage scoring, and mathematically traceable clinical flags.

Live Modality Matrix

Real-time status of Serene Foundation Models (SFM).

View Model Documentation
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Reasoning-Based Explainable AI

Opening the Black Box.

Clinical deployment requires absolute traceability. Our models don't just output predictions; they output the exact chain-of-thought reasoning mapping back to the biological signal.

  • Reasoning-based chain-of-thought outputs
  • FDA-ready interpretability documentation
  • Human-in-the-loop architectural design
// Chain-of-Thought Trace
Step 1: Analyze rhythm regularity [Irregular]
Step 2: Detect P-waves [Absent]
Step 3: Measure baseline [Fibrillatory]
Inferred: Atrial FibrillationConfidence: 99.1%