PrediTwins creates digital twins of individual athletes that combine movement data, muscle load, and fatigue metrics into a continuously monitored virtual model. The platform alerts coaches and medical staff to injury risk thresholds and lets them simulate training, match, or recovery scenarios to optimize performance while reducing strain.
Funding
Funding not disclosed
Founders
Product
Problem
Sports teams and athletic organizations often rely on generic performance metrics that do not capture the hidden biomechanical stresses and fatigue levels experienced by athletes, leading to delayed injury detection and suboptimal training decisions.
Solution
PrediTwins builds high‑fidelity digital twins of individual athletes that integrate movement data, muscular load, and fatigue indicators into a single virtual model. The platform continuously monitors these twins and generates real‑time alerts when strain or fatigue thresholds approach injury risk levels. Coaches can use the twins to simulate and compare alternative training, match, or recovery scenarios before implementation, allowing them to choose the approach that maximizes performance while minimizing injury risk. By linking performance data with health metrics, the system provides actionable intelligence that helps maintain player availability and extend athletic longevity.
Target Audience
Primary customers are professional sports clubs, elite training academies, and performance science departments that manage athlete health, training load, and match preparation.
Features
- Biomechanical simulation engine that reproduces each athlete’s movements and internal muscle‑load dynamics
- Continuous fatigue and strain monitoring with automated risk alerts for coaches and medical staff
- Scenario simulation tools that let users model training sessions, match tactics, or recovery protocols on the digital twin
- Real‑time visualization of workload effects, enabling instant assessment of potential overload or injury risk
- Data‑driven decision support that compares multiple scenarios to identify the optimal training or strategy plan