The startup offers a sports training platform that utilizes computer vision technology to deliver personalized training methodologies for athletes and coaches. This platform enables affordable, data-driven training solutions, enhancing performance and accessibility for athletes regardless of their location.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Athletes and coaches often lack access to affordable, data-driven training methodologies that provide personalized feedback on body mechanics and technique, hindering performance improvement and accessibility to elite-level training insights. Traditional coaching methods may also lack objective, quantifiable data to support training recommendations.
Solution
BeONE Sports offers a mobile AI-enhanced training platform that leverages computer vision to analyze athletes' movements and provide comparative training against digitized techniques of accomplished athletes. The platform allows athletes to record themselves performing sport-specific actions, then uses machine learning models to compare their form against a database of elite athletes, providing a score and coaching tips for improvement. This approach delivers affordable, accessible, and data-driven insights, enabling athletes and coaches to visualize training margins of error and track progress towards perfecting athletic form.
Target Audience
The primary target audience includes athletes aged 13-18, as well as coaches and parents seeking affordable, data-driven training solutions to enhance athletic performance and provide objective feedback on technique.
Features
- Mobile application for iOS devices, designed for athletes, coaches, and parents.
- Computer vision analysis of athletic movements with immediate feedback.
- Comparative training feature allowing athletes to compare their performance against digitized techniques of professional, collegiate, and Olympic athletes.
- Machine learning models providing scores and coaching tips based on visualized training margins of error.
- Ability to record and analyze athletic actions in as little as one repetition.
- Dashboard for tracking progress and visualizing improvements in athletic form.
- Coaching network enabling remote coaching and athlete performance monitoring.
- Digitized comparatives available as in-app purchases, allowing athletes to train with specific sports figures.