MHS analyzes an athlete's motion and kinematic data using AI to create a "Movement Signature." This signature identifies mechanical inefficiencies that hinder performance or cause injury, providing a data-driven roadmap for improvement.
Funding
Funding not disclosed
Founders
Product
Problem
Athletes are often assessed using superficial performance data, and training staff often assume foundational integrity. Existing methods may overlook the underlying mechanical inefficiencies that can lead to injury and hinder optimal performance. The rising rates of sports-related injuries and associated costs highlight the need for a more comprehensive approach to athlete assessment and training.
Solution
Movement Health Science (MHS) offers BaselineAPS, a software platform that employs patent-pending AI to analyze an athlete's movement mechanics and quantify their Load Capacity. By identifying Key Mechanical Indicators, the platform uncovers invisible vulnerabilities and mechanical dysfunctions. BaselineAPS then generates personalized exercise programs designed to improve movement stability and strategy, reduce injury potential, and optimize athletic performance. The software integrates with existing athlete management systems (AMS) or can be used as an all-in-one solution, providing coaches and athletes with actionable data to enhance resilience and expand athletic range.
Target Audience
The primary target audience includes coaches, trainers, physical therapists, and sports scientists working with high school, college, and professional athletes, as well as the athletes themselves.
Features
- AI-powered analysis of movement mechanics using a phone or tablet camera
- Quantification of Load Capacity based on Key Mechanical Indicators
- Personalized exercise programs to improve movement stability and strategy
- Integration with existing AMS or use as a standalone solution
- Athlete dashboard to review Load Capacity and programming
- Cohort analysis for comparing athletes on a team
- Data capture and actionable data outputs
- Machine learning (ML) algorithms to optimize programs based on past results