Crux Beta Labs provides a web platform that converts climbing video into 3‑D pose data, delivering visualizations of limb trajectories, joint angles, and center‑of‑mass dynamics. Users can compare attempts, isolate inefficient moves, and receive data‑driven technique recommendations, with future integration for real‑time feedback via the Spray operating system.
Funding
Funding not disclosed
Founders
Product
Problem
Climbers lack objective, quantitative feedback on their body movements during climbs, making it difficult to identify technique inefficiencies and track performance improvements.
Solution
Crux Beta Labs creates spatial computing tools that convert climbing video footage into detailed motion data. Their computer‑vision pipeline extracts 2‑D keypoints from recorded climbs and reconstructs a 3‑D pose of the climber in a web application, providing visualizations of limb trajectories, joint angles, and center‑of‑mass dynamics. The platform presents this information in an interactive interface, allowing users to compare attempts, isolate problematic moves, and receive data‑driven recommendations for technique refinement. An upcoming operating system, Spray, will integrate these analytics directly into modern climbing equipment and training environments, enabling real‑time performance monitoring.
Target Audience
Primary users are sport and bouldering climbers, climbing coaches, and training facilities seeking quantitative analysis of climbing technique.
Features
- Automated video ingestion and computer‑vision analysis to detect climber pose without manual annotation
- Web‑based 3‑D reconstruction of full‑body climbing posture with exportable joint‑angle metrics
- Interactive playback and overlay tools for side‑by‑side comparison of multiple climb attempts
- Data visualizations of movement efficiency, including center‑of‑mass path and limb utilization
- Planned operating system (Spray) to embed spatial‑computing analytics into climbing hardware for live feedback