CES 2026 — Battery AI Moves Toward Edge-Cloud Convergence

At CES 2026, held in Las Vegas in January 2026, the trend of AI moving from the cloud to the device side (edge) became increasingly clear. In the field of battery management in particular, where safety and real-time responsiveness are essential, the division of roles between edge AI and the cloud has emerged as a key theme.

Eatron Technologies (UK), for whom we serve as a tech partner handling all aspects of business development in Japan — including customer acquisition and management of the Japan subsidiary — has published a blog post inspired by CES 2026.

CES 2026: Why The Future of Battery Intelligence Lives on The Edge and Learns in

The Cloud

Eatron is an AI software company specializing in Battery Management Systems (BMS). In their article, they explain their dual-layer approach: real-time decisions are processed at the edge in safety-critical environments such as automotive and Battery Energy Storage Systems (BESS), while learning tasks like degradation analysis and model improvement are handled in the cloud. Building on their automotive-grade development track record, the company is also expanding into BESS and industrial energy infrastructure.

Envital's mission is "Bringing edge-cloud intelligence to the real world." Eatron's battery AI technology is a concrete implementation of this very vision. We will continue to serve as a bridge connecting overseas companies with cutting-edge edge-cloud technologies to the Japanese market, driving business development in the mobility and energy sectors.

If you are interested in Eatron's technology or its business development in Japan, please do not hesitate to contact us. We are also recruiting sales staff and FAEs (Field Application Engineers). Please feel free to reach out for these opportunities as well.