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SETPOINT
Precision Health System
Interactive system demo

Initialize your SETPOINT system.

This demo shows the closed loop: onboarding creates a Twin, StateK interprets your state, a protocol generates a session, and feedback updates the system.

1
Model
Inputs initialize your Twin
2
Interpret
StateK computes current state
3
Adapt
Feedback updates the plan
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What the demo will prove
Onboarding
Captures goals, symptoms, and context
Twin
Initializes a personalized model
State
Interprets your current condition
Protocol
Selects structured intervention logic
Feedback
Updates state, plan, timeline, and confidence
Expected result

You should see the system change after feedback—not just display a score.