HyperTennis s.r.l.
HyperTennis provides an AI-powered smart court system that transforms any tennis court into an advanced analysis environment using cameras and wearable sensors. The platform tracks the motion of the player, ball, and racket across forehand, backhand, and serve strokes, delivering scientific precision data to optimize performance and prevent injuries. The system merges physics, biomechanics, and machine learning to serve as a digital tennis coach for athletes and coaches.
- Artificial Intelligence
- Data & Analytics
- Hardware
- Healthcare Technology
- Software Only
- Sports Technology
- Wellness & Fitness Technology
Funding
Founders
Product
Problem
Tennis players and coaches lack access to precise, objective data on stroke mechanics, racket behavior, and player biomechanics during training and matches. Traditional analysis relies on subjective observation or expensive, lab-based equipment that cannot be used on a regular court, limiting performance optimization and injury prevention efforts.
Solution
HyperTennis transforms any tennis court into a smart court by installing cameras and wearable sensors that capture comprehensive motion data across the entire tennis system—racket, player, ball, and movement. The platform tests the three fundamental strokes (forehand, backhand, and serve) while tracking all elements with scientific precision. Advanced data and motion capture technology, combined with artificial intelligence, merges physics, mechanics, and biomechanics to deliver actionable performance insights. The system functions as a digital tennis coach, providing analysis that supports technique improvement, performance enhancement, and injury prevention for players at all levels.
Target Audience
Primary customers are tennis clubs, academies, and training centers seeking to offer advanced performance analysis to their members, as well as individual players and coaches at competitive levels who want data-driven insights for technique improvement and injury prevention.
Features
- Multi-camera court installation with wearable sensors for comprehensive motion capture of player, racket, and ball
- AI-driven analysis of the three fundamental strokes: forehand, backhand, and serve
- Integration of physics, mechanics, and biomechanics with machine learning algorithms for performance assessment
- Personalized equipment optimization based on individual player characteristics and stroke patterns
- Injury prevention analytics derived from biomechanical data monitoring
- Cloud-based dashboard for accessing performance reports and video analysis