Score offers an AI-powered vision intelligence platform that automates sports video analysis. It uses computer vision and machine learning to track athletes, detect events, and quantify performance metrics, providing objective data for enhanced scouting, training, and tactical planning.
Funding
Funding not disclosed
Founders
Product
Problem
Analyzing sports performance from video footage is a labor-intensive process, requiring manual annotation and subjective interpretation. This limits the depth and scalability of insights derived from game data, hindering objective performance evaluation and strategic development.
Solution
Score provides an AI-powered vision intelligence platform that automates the analysis of sports video. The system processes footage frame by frame, employing computer vision and machine learning algorithms to track athletes, identify key actions, and quantify performance metrics. This objective data extraction enables a deeper understanding of game dynamics, player efficiency, and strategic effectiveness. Developers and organizations can leverage these insights to enhance scouting, training regimens, and tactical planning.
Target Audience
The primary customers are sports analytics companies, professional sports teams, and developers building sports-related applications who require automated, data-driven insights from video content.
Features
- Automated athlete and object tracking within video streams using deep learning models.
- Real-time event detection and classification (e.g., passes, shots, tackles).
- Generation of quantitative performance metrics and statistical analysis.
- Predictive modeling for game outcomes and player performance trends.
- API access for integration with existing sports analytics workflows.
- Customizable dashboards for data visualization and reporting.