Kampa is a Parkinson's disease monitoring app for Apple Watch that passively tracks tremor and dyskinesia throughout the day using Apple's Movement Disorder API. It correlates movement data with medications, meals, sleep, and workouts to reveal personal symptom patterns, with all health data stored on-device and in the user's private iCloud.
Funding
Funding not disclosed
Founders
Product
Problem
Parkinson's disease symptoms fluctuate throughout the day, but traditional clinical assessments capture only brief snapshots during office visits. Patients struggle to identify which daily activities, medications, or lifestyle factors actually affect their movement, and clinicians lack objective longitudinal data to guide treatment adjustments.
Solution
Kampa provides a passive monitoring solution that runs continuously in the background on Apple Watch, using Apple's Movement Disorder API to measure tremor and dyskinesia without requiring active patient input. The app automatically syncs movement data with Apple Health metrics like sleep, heart rate variability, workouts, and daylight exposure, then correlates these against medication timing and food logs. Users can log meals, doses, or symptoms with a single spoken sentence or tap, and the app surfaces personalized insights showing what actually affects their symptoms. All health data remains on the user's device and private iCloud, with no servers receiving personal health information.
Target Audience
Primary users are people living with Parkinson's disease who want to understand their personal symptom patterns, along with clinicians seeking objective longitudinal data to inform treatment decisions.
Features
- Continuous passive tremor and dyskinesia monitoring via Apple's Movement Disorder API, with no active testing required
- Automatic medication correlation tracking onset, duration, and wearing-off patterns for each dose independently
- Voice-based logging for meals, medications, and symptoms
- one spoken sentence or tap, designed for hands that shake
- Barcode scanning for food logging with a built-in database of 439,082 products, processed entirely on-device
- On-device processing with no network calls for health data; all information stays in Apple HealthKit and private iCloud
- Research-validated movement checks including hand rotation, finger tapping, and leg rotation with published reliability metrics (ICC ≥ 0.75)
- Sleep, HRV, workouts, and daylight exposure auto-import from Apple Health without manual entry
- Privacy-first architecture with no third-party analytics, no advertising SDKs, and no health data transmission