Every exercise passes 6 layers of clinical validation. The engine adapts in real-time to patient feedback, flare-ups, and recovery trajectory.
Every exercise candidate passes through 6 sequential layers before reaching the patient. One failure at any layer blocks the exercise.
When pain spikes, the engine automatically reduces volume, regresses exercises along the progression graph, and returns to protective patterns.
Each session generates data that flows back into the engine, adjusting the next session automatically.
Global platforms proved the model. We built it right — transparent, deterministic, and designed for trust.
Every exercise recommendation traces back to specific rules and clinical sources. Doctors see why, not just what.
Same patient data always produces the same plan. No hallucinations, no drift — reproducible and auditable.
7-dimension tissue tolerance filter + 191 evidence-based rules block unsafe exercises before they reach the patient.
Rule engine serves the 10,000th patient with the same speed and quality as the 1st.
Clinicians can override any recommendation. When uncertain, the engine defaults to conservative mode.
New conditions are added by expanding the rule base, not rebuilding the engine.
Explore the full interactive demo with 8 patient profiles, clinical tests, and AI-driven exercise programs.
Launch Interactive Demo