Sports Biomechanics Intelligence
This AI solution ingests wearable sensor data, motion capture, and video to model athlete biomechanics, detect movement inefficiencies, and flag high‑risk patterns for injuries like ACL tears. By turning complex motion data into actionable insights and personalized interventions, it helps teams optimize performance, reduce injury incidence and rehab time, and protect the value of their athlete roster.
The Problem
“Turn athlete motion data into injury-risk flags and training interventions”
Organizations face these key challenges:
Biomechanics review is manual, expert-dependent, and too slow for day-to-day training cycles
Wearables, mocap, and video disagree due to calibration drift, missing data, and inconsistent protocols
Injury-risk screens are noisy (false alarms) and not personalized to athlete baseline or sport demands
Insights don’t translate into actionable cues, progression plans, and measurable intervention impact