ABOUT SPORTSHUB AI
We build sports AI infrastructure for the realities of training and competition—connecting sensing, analysis and decision-making in one system.
Our starting point is simple: bring AI out of the screen and back into action on the field.
OUR PATH
Our direction was shaped in real training and competition—not in a product brief.
OUR PATH
2024PROJECT ORIGINDuring preparations for Paris 2024, our work with national-team analysis revealed a decisive truth: coaches did not need another probability. They needed to know what happened in the seconds when the score opened up—and what to change in the next training session.
Data creates value only when it can be understood, trusted and acted on.
SPORTSHUB AI / 速行智能 was formally established around a long-term direction: AI infrastructure for real-world sports. Our first shooting-training MVP validated how AI could understand action, trajectory and performance in a live environment.
The first product was not our boundary. It was our first doorway into the training field.
With our flagship football wearables system, we connected smart wearables, a team data hub and intelligent decision support. Pilots with professional teams, academies and training organizations moved us from a demonstrable product to continuous delivery inside training, review and athlete management.
Real sports AI is not proven in a demo. It is proven by being used every day on the field.
Every training session, match, action and review can become structured knowledge. As the data deepens, the models improve; as the models improve, the system can enter more sports, serve more people and make the next decision more useful.
From isolated insights to a continuously evolving sports-intelligence foundation.
HOW WE WORK
Technology should respect the effort, judgment, emotion and experience of every participant in sport.
Every product begins in real training and competition, then returns to the field to be tested.
Analysis creates value only when coaches and athletes can understand, trust and use it.
We connect sensing, analysis, decisions and long-term learning instead of building isolated tools.