Trainedby offers AI‑enhanced, coach‑driven training programs for athletes, starting with pickleball and expanding to other sports. Users select a professional coach, receive an initial assessment, and get a personalized training plan that adapts as performance data is collected; the platform also facilitates group sessions and peer networking. Revenue is generated through subscription fees for access to the AI‑personalized plans and coach services.
Funding
Funding not disclosed
Founders
Product
Problem
Athletes in emerging sports such as pickleball often lack access to individualized coaching that adapts to their evolving skill set, leading to inefficient training cycles and plateaued performance. Traditional coaching models rely on static session plans and manual progress tracking, which can be time‑consuming and difficult to scale for group play or remote participants.
Solution
Trained delivers a hybrid coaching platform that pairs professional sports coaches with an AI engine that continuously refines workout prescriptions based on real‑time performance data. Users select a coach, complete a baseline assessment, and receive a digital training plan that updates automatically as session metrics are logged. The system aggregates sensor‑derived and self‑reported data, applies supervised learning models to identify skill gaps, and generates progressive drill sequences. Coaches can annotate assessments, add notes, and monitor athlete trajectories through a web dashboard, while athletes view their personalized plan and upcoming group sessions on a mobile app. All data are stored in a secure, user‑owned cloud repository, enabling portability across facilities and devices.
Target Audience
The primary customers are amateur and semi‑professional athletes seeking structured improvement in pickleball, as well as sports clubs and recreation centers that want to offer data‑backed coaching services to their members.
Features
- AI‑driven adaptive plan engine that recalibrates drills after each logged session using supervised learning algorithms
- Integrated coach portal with assessment templates, note‑taking, and progress visualizations (trend charts, heat maps)
- Mobile app for athletes to view schedules, log session metrics, and receive push notifications for plan updates
- Group session scheduler that matches players by skill level, location, and availability, with automated roster management
- Secure, GDPR‑compliant data storage with end‑to‑end encryption and user‑controlled data export
- API endpoints for third‑party wearables and performance trackers to feed biometric data into the training loop
- Multi‑sport framework that currently supports pickleball and can be extended to additional racket and team sports