Belay AI
Belay AI provides an AI-powered climbing analysis platform that turns any smartphone camera into a personal coaching tool. Users record their climbing sessions, and proprietary computer vision algorithms deliver real-time technique feedback and personalized performance suggestions without requiring sensors or specialized hardware. The platform is designed for recreational climbers, amateur athletes, and climbing gyms seeking affordable, data-driven coaching support.
- Sports Technology
- Artificial Intelligence
- Wellness & Fitness Technology
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional climbing coaching requires in-person observation or time-consuming video review by experienced trainers, limiting access to personalized, real-time feedback for recreational and amateur climbers. Without immediate technique analysis, climbers often develop inefficient movement patterns or overlook safety issues that could lead to injury.
Solution
Belay AI provides an AI-powered climbing analysis platform accessible through any smartphone camera. Users position their phone on the floor or a tripod, record their climbing session, and the system processes the footage using advanced computer vision algorithms. The AI delivers real-time technique feedback and generates personalized suggestions for improving performance and safety. No additional sensors or specialized hardware are required, making professional-grade analysis accessible to climbers at any level. The platform also supports ongoing research and development to advance human performance analytics in physical activities.
Target Audience
Recreational and amateur climbers seeking affordable, on-demand technique feedback, as well as climbing gyms and training facilities looking to provide data-driven coaching support to members.
Features
- Real-time technique analysis with instant feedback on climbing form
- Personalized performance improvement suggestions tailored to each session
- Computer vision-based tracking that requires no wearable sensors—only a standard smartphone camera
- Simple setup process: prop phone on floor or use a tripod for optimal recording stability
- Proprietary AI algorithms that meticulously analyze movement patterns to identify technique refinements
- Active R&D program focused on optimizing safety and performance in the climbing domain