Trace offers an AI-powered sports analytics platform that automates the capture and analysis of game footage. Its computer vision and machine learning algorithms track player movements and generate detailed performance metrics, providing coaches and athletes with actionable insights for data-driven decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Sports teams and individual athletes often lack objective, granular data to analyze performance and identify specific areas for improvement. This deficit hinders effective player development, strategic game planning, and the objective evaluation of team dynamics.
Solution
Trace provides an AI-powered sports analytics platform that automates the capture and analysis of game footage. The system utilizes computer vision and machine learning algorithms to track player movements, identify key actions, and generate detailed performance metrics. This objective data is then presented through an intuitive interface, enabling coaches and athletes to gain actionable insights into individual and team performance. By quantifying performance, Trace facilitates data-driven decision-making for player development, tactical adjustments, and opponent scouting.
Target Audience
The primary target audience includes professional and collegiate sports teams, including coaches, performance analysts, and athletes seeking to enhance performance through data analytics.
Features
- Automated video capture and tagging of game events using computer vision
- AI-driven player and ball tracking for precise movement analysis
- Generation of detailed performance metrics, including possession, passing accuracy, and defensive pressure
- Video playback with synchronized data overlays for contextualized analysis
- Customizable dashboards for visualizing team and individual player statistics
- Tools for creating and sharing highlight reels and specific play breakdowns
- Integration with existing video workflows for seamless data import