Embedded AI Control Controller "E-Smart MPC"

We are pleased to announce a significant update to the user interface (GUI) features of our proprietary optimal control AI, "Smart MPC," in its embedded product version, "E-Smart MPC." With this update, you can complete everything from initial setup to operation using only the GUI, meaning no programming is required (no-code), allowing for a smooth user experience! For more details, please watch the video in the "Related Links"! *Related Links Video: How to Use: Setup and Control Demonstration in just under 2 minutes.

We will showcase the control AI "Smart MPC" that realizes optimization of manufacturing site control. ■ Event Overview Date: January 21 (Wed) - 23 (Fri), 2026, 10:00-17:00 Venue: Tokyo Big Sight, South Hall 4 Exhibition: Factory Innovation Week 2026 ■ Features of Smart MPC Achieves AI control without specialized knowledge through Model Predictive Control × Machine Learning - Energy-saving effect: 5-15% reduction - Implementation period: as short as 3 days (data collection operation starts) - Temperature accuracy: ±0.2℃ (PID ratio ±0.5℃ → ±0.2℃) - Automatic adjustment: Adapts to aging degradation through online learning ■ Solving these challenges ✓ Time-consuming PID parameter adjustments ✓ Difficulty in complex multivariable control ✓ Control quality instability due to lack of skilled personnel ✓ Desire to balance energy savings and quality A team of 36 engineers, including 20 with PhDs, will solve manufacturing site challenges using advanced mathematical optimization techniques. We will present live demonstrations and case studies at the venue. Please visit our booth.

Due to the soaring energy prices and the need for carbon neutrality, energy reduction has become an urgent issue in the manufacturing industry. However, the currently mainstream PID control is insufficient in responding to complex processes and sudden disturbances, leading to "control waste" caused by excessive control actions and standby operations. Additionally, adjustments require advanced experience, and issues of dependency on specific individuals and black-boxing are also challenges. In this seminar, we will introduce "Smart MPC," which addresses these challenges. This control technology, which combines machine learning and optimization techniques, enables high-precision predictive control by anticipating environmental changes from past operational data, even without specialized knowledge. It significantly reduces energy costs in air conditioning, furnaces, boilers, and more. The embedded "E-Smart MPC," set to be released in July 2025, can be directly mounted onto control panels and allows for quick implementation through GUI operations. If you are involved in the manufacturing industry and are considering energy cost reduction or control optimization, please join us. Date and Time: November 28, 2025 (Friday) 13:00-14:00