In recent years, I have seen how the boundary between technology and human performance has shifted from simple application to a space of genuine exploration. It is compelling to encounter innovation that does not pursue the obvious, but instead redefines the rules and reshapes our understanding of what progress can look like.
In a market where technology is often framed as a tool for automation, the Tero and Carry projects by Lumistar.ai stand out as a more advanced interpretation of the relationship between humans and machines, offering solutions that do not merely execute commands but respond and adapt in real time to the user’s actions. Presented with strong impact at Ces 2026, these AI-driven sports training systems combine computer vision, dynamic data analysis and autonomous decision-making to create an active training experience.
Designed for tennis, Tero does more than launch balls: it observes positioning, evaluates speed and trajectory, and automatically adjusts difficulty and rhythm within each session, simulating the presence of a real training partner. In the same way, Carry reimagines basketball practice, with passing and shooting mechanics that interpret and react to the athlete’s movements while collecting performance metrics with professional-level precision.
The teams behind these systems, guided by the forward-looking approach of Lumistar.ai, have not simply developed more sophisticated machines, but have reframed the very concept of training, turning each session into a continuous dialogue between technology and individual learning. The result is a platform that elevates both daily practice and long-term skill development, introducing a new level of sensitivity into the market for performance-driven sports technologies.
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