Skorva provides AI‑driven sports form analysis that gives athletes instant, data‑backed feedback on their technique. Users can track their performance, compete on leaderboards, and monitor daily improvements. The platform leverages computer‑vision algorithms to evaluate movement patterns in real time, helping athletes refine their form and achieve better results.
Funding
Funding not disclosed
Founders
Product
Problem
Athletes and coaches often lack immediate, objective feedback on technique, relying on subjective observation or delayed video review, which hampers rapid skill improvement and precise performance tracking.
Solution
Skorva offers an AI-powered platform that analyzes athletes' movement using computer‑vision algorithms to generate instant, quantitative feedback on form. The system processes video input in real time, extracting key biomechanical metrics and presenting them through an easy‑to‑understand dashboard. Users can monitor their progress over time, compare results on competitive leaderboards, and receive daily insights that highlight specific technique adjustments. By turning raw motion data into actionable recommendations, Skorva enables targeted training and measurable performance gains without the need for a specialist present at every session.
Target Audience
Primary users are individual athletes and sports coaches seeking data‑driven technique improvement across a range of disciplines.
Features
- Real‑time computer‑vision analysis of video clips to assess movement patterns and form
- Automated extraction of biomechanical metrics such as joint angles, speed, and symmetry
- Personalized feedback reports with clear improvement suggestions and trend visualizations
- Competitive leaderboards that rank users by skill metrics to foster motivation and community engagement
- Daily insight notifications that surface actionable tips based on recent performance data