RECOVR Sports provides virtual‑reality rehabilitation platforms that immerse athletes in customizable sports environments to boost adherence to physical therapy. The system tracks progress, offers performance upgrades and accessories, and lets users tailor arenas and courts to their needs, helping them recover more effectively while staying motivated.
Funding
Funding not disclosed
Founders
Product
Problem
Injured athletes often struggle to stay engaged with traditional physical therapy, leading to poor adherence and slower recovery. Conventional rehab exercises can feel repetitive and lack relevance to the athlete’s sport, reducing motivation and limiting measurable progress.
Solution
RECOVR Sports offers a virtual‑reality rehabilitation platform that places athletes in immersive, sport‑specific environments while they perform prescribed therapy movements. The system captures motion data in real time, providing clinicians with objective metrics on range of motion, strength, and exercise compliance. Users can personalize the virtual arena, select sport‑relevant courts, and apply performance upgrades or accessories to keep sessions engaging. Progress is visualized through dashboards that compare session data over time, helping both athletes and therapists monitor recovery trajectories. By linking therapy to familiar sport contexts, the platform aims to increase adherence and accelerate functional return.
Target Audience
Primary customers are sports medicine clinics, athletic trainers, and physical therapists working with competitive or recreational athletes recovering from musculoskeletal injuries.
Features
- Full‑body VR experience that maps therapeutic exercises onto sport‑specific courts and arenas
- Real‑time motion tracking and analytics to quantify range of motion, repetitions, and effort
- Extensive customization library for environments, equipment, and performance upgrades
- Progress dashboards with longitudinal charts and goal‑setting tools for clinicians and athletes
- Integrated feedback loops that adjust difficulty based on user performance to maintain optimal challenge