Technology

Built with
Cutting-Edge AI

HoopIQ leverages advanced computer vision and machine learning to turn raw game footage into actionable insights.

See Our AI in Action

Our system uses advanced computer vision to analyze game footage, automatically tagging player actions like shots, dribbles, and movements to generate comprehensive stats and highlights.

A frame of a basketball game with AI tagged bounding boxes for player actions

How Our Technology Works

Computer Vision

Advanced object detection and tracking algorithms identify every player on the court in real time, capturing movement, positioning, and interactions frame by frame.

Action Recognition

Our models classify player actions — shots, dribbles, passes, screens, and more — with high accuracy, turning raw footage into structured play-by-play data.

Automated Stat Generation

Every tagged action feeds into our stat engine, producing box scores, shooting charts, and performance metrics without any manual input.

Highlight Detection

Key moments are automatically identified and clipped, giving players and coaches shareable, recruiter-ready highlights within hours of upload.

Experience the Power of HoopIQ

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