Adaptive Fitness Intelligence Platform
Cross-platform health ecosystem featuring computer vision form analysis, adaptive workout algorithms, and integrated wellness tracking.
Project Overview
Created for a Series B health tech startup seeking to differentiate in the crowded fitness app market. The solution combined mobile, wearable, and smart equipment data for holistic health profiling.
Key Challenges
- Achieving sub-100ms pose detection on iOS A12 chips
- Synchronizing biometric data across multiple provider APIs
- Preventing overtraining in adaptive algorithms
Project Details
7 months to MVP, ongoing feature development
6 (2 Mobile, 2 AI, 1 BE, 1 UX)
Our Solution
Developed proprietary adaptation engine using reinforcement learning
Implemented real-time form correction via device ML models (TensorFlow Lite)
Created unified data layer aggregating Apple Health, Garmin, and Whoop data
Built social features with WebRTC for live trainer sessions
Technical Details
performance
<50ms inference latency on mid-range devices
compliance
HIPAA certified backend with audit logging
monetization
Stripe integration with 3-tier subscription model
analytics
Amplitude with custom cohort tracking
Results & Impact
“Your biomechanics engine became our patent-pending USP, directly impacting our Series C valuation.”
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