Sport AI is an intelligent sports platform that integrates Generative AI (GenAI), computer vision, time-series data analysis, and sensing technologies, aiming to reshape athletic training, competitive sports, and the broader public sports experience.
Initially developed for baseball, Sport AI has been validated in both domestic and international environments. Its modular system design enables wide application across various sports, including tennis, basketball, soccer, indoor shooting, and outdoor shooting. The platform provides real-time motion analysis, personalized training recommendations, and strategic simulations powered by AI, helping coaches and athletes enhance performance and efficiency. It also auto-generates game highlights, tactical animations, training videos, and personalized sports reports¡Xenhancing viewer engagement and the commercial value of content.
Sport AI introduced Taiwan¡¦s first electronic 3D strike zone system, supporting real-time strategic decision-making for professional teams and simulated training environments. It also empowers grassroots coaches to identify promising talents more accurately, lowering development barriers and bridging resource gaps. The system features ESG-friendly design, reducing paper usage and transportation needs for training, enabling low-carbon practices, and offering data dashboards to improve governance and transparency.
Unlike existing Taiwan-based solutions that rely primarily on statistics, video replays, or single-sensor technologies, Sport AI emphasizes three core capabilities: generation, interaction, and universality. With high scalability and strong API integration potential, it can be adopted across sports, education, media, healthcare, and smart city applications¡Xpositioning itself as a key platform for advancing the industrialization of AI in sports.