Kailytics provides an AI‑powered mobile app that uses a smartphone camera to capture each shot and apply computer‑vision analysis for speed, accuracy, placement, and body‑mechanics metrics. The platform delivers automated, coach‑grade feedback and personalized improvement suggestions, while offering gamified challenges, leaderboards, and a coach portal for team performance monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Athletes often lack accessible tools to quantitatively assess shot performance and technique, relying on subjective feedback or expensive equipment that limits regular, data-driven training.
Solution
Kailytics offers an AI-powered mobile platform that captures each shot with a smartphone camera and applies computer‑vision algorithms to measure speed, accuracy, placement, and body mechanics such as torso lean and knee angles. The system generates coach‑grade insights and personalized improvement suggestions after every session, enabling athletes to track progress over time. Training is gamified through challenges, levels, and a virtual goalkeeper, while leaderboards and social sharing foster competition. Coaches receive team tools to monitor player metrics, assign drills, and review performance dashboards, turning individual practice into a structured, data‑rich program.
Target Audience
Primary users are individual athletes and sports teams seeking data‑driven training, as well as coaches who need scalable tools to evaluate and improve player technique.
Features
- Shot tracking using on‑device computer vision to calculate speed, placement, and consistency
- Body‑mechanics analysis that records torso lean, knee angles, and movement patterns
- Automated, personalized feedback reports delivered after each session
- Gamified training modules with challenges, levels, and a virtual goalkeeper to increase engagement
- Leaderboards and social sharing for worldwide competition and community building
- Coach portal with player performance dashboards, drill assignment, and progress monitoring