TRAX provides a board‑mounted sensor system that captures pressure and motion data from a surfer’s board, measuring metrics such as flow, speed, weight shifts, and turn angles. The data is processed with AI to deliver personalized, actionable feedback that compares a rider’s technique to professional surfers, helping users identify strengths, fix weaknesses, and accelerate their surf progression.
Funding
Funding not disclosed
Founders
Product
Problem
Surfers often rely on subjective feel and occasional coaching to assess their technique, making it difficult to measure progress, identify specific weaknesses, and adapt equipment choices across different conditions.
Solution
TRAX offers a board‑mounted sensor suite that records pressure distribution, motion dynamics, flow, speed, weight shifts, and turn angles during each surf session. The collected data are processed with AI algorithms that benchmark a surfer’s performance against professional standards and generate clear, personalized feedback. Users receive actionable insights on what aspects of their technique are effective and where improvements are needed, both in‑water and during land‑based training. The system works with any board in a surfer’s quiver, allowing comparison of styles and equipment performance across varying wave conditions.
Target Audience
TRAX is aimed at dedicated recreational and competitive surfers who seek data‑driven coaching to accelerate skill development and optimize equipment selection.
Features
- Integrated pressure and motion sensors capture real‑time weight distribution, turn angles, speed, and flow on the surfboard
- AI‑driven analytics compare recorded metrics to a database of professional surfer benchmarks
- Personalized feedback highlights strengths, weaknesses, and specific drills for improvement
- Cross‑board compatibility enables performance tracking across a surfer’s entire quiver
- Session summaries are accessible via a mobile app, providing visualizations of key metrics and progress over time