Machine Learning in Athletics provides a 90‑second motion capture system that records high‑resolution biomechanical data and uses validated machine‑learning models to predict musculoskeletal injury risk. The cloud‑based dashboard delivers real‑time health and performance metrics and automatically generates personalized training and rehabilitation plans for professional sports teams.
Funding
Funding not disclosed
Founders
Product
Problem
Professional sports teams face high rates of musculoskeletal injuries, with many athletes missing games due to preventable non‑contact incidents. Limited access to rapid, detailed biomechanical assessments hampers early detection of injury risk factors and delays personalized intervention.
Solution
Machine Learning in Athletics offers a 90‑second capture protocol that records detailed biomechanical data for each athlete. Proprietary algorithms, developed with clinical experts and trained on a large proprietary data set, analyze the metrics in real time to identify injury risk factors. The platform delivers actionable health and performance insights through a cloud‑based dashboard accessible to managers, coaches, and physicians. Clinicians can generate individualized training and care protocols without adding staff, enabling teams to reduce downtime and protect player value.
Target Audience
Primary customers are professional sports organizations—including managers, coaching staff, and team physicians—who need data‑driven injury prevention and performance optimization for their athletes.
Features
- Quick 90‑second capture sessions using a standardized motion protocol to gather high‑resolution biomechanical data
- Machine‑learning models validated by university clinicians that predict musculoskeletal injury risk with up to 76% prevention potential
- Real‑time analytics dashboard providing health and performance metrics for each player, viewable on any device
- Automated generation of personalized training and rehabilitation plans based on individual risk profiles
- Integration of expert medical guidance from in‑house clinicians and external scientific advisors