AI Sports Joint Load Intelligence
AI Sports Joint Load Intelligence uses wearables, vision-based pose estimation, and biomechanical models to estimate joint loads and fatigue in real time across training and competition. By predicting injury risk, quantifying movement quality, and personalizing workload, it helps teams extend athlete availability, optimize performance, and reduce the medical and salary costs associated with preventable injuries.
The Problem
“Real-time joint load + fatigue estimation to reduce preventable athlete injuries”
Organizations face these key challenges:
Workload plans rely on proxy metrics (GPS distance, HR) that miss joint-level stress
Injuries occur despite high data volume because signals aren’t fused into actionable risk
Staff spend hours reviewing video and spreadsheets with inconsistent interpretation
Return-to-play decisions lack objective movement-quality and fatigue thresholds