DeepCtrls Raises Series B for AI Energy Optimization

DeepCtrls, a pioneer in physical AI solutions, has successfully closed a substantial Series B funding round, injecting significant capital to fuel its expansion and technological advancement. The investment, led by prominent solar energy firm Jinko Energy, saw participation from a robust syndicate of investors including SDIC Innovation and CMB International. This strategic infusion of capital underscores the growing market demand for intelligent energy management systems in industrial and technological sectors.

The company distinguishes itself through its proprietary PhyAI engine, a sophisticated system that merges deep learning algorithms with a fundamental understanding of physical mechanisms. This hybrid approach allows DeepCtrls to accurately model and predict the behavior of electromechanical systems, enabling real-time, autonomous optimization of energy consumption. The technology is particularly impactful in environments where energy efficiency directly translates to operational cost savings and reduced environmental impact.

Founded by a distinguished team including Dr. Li Hui, with roots in academia at Tsinghua University and research at Lawrence Berkeley National Laboratory, DeepCtrls has already demonstrated the efficacy of its platform. Its PhyAI engine has been trained on an extensive dataset derived from over 300,000 devices, achieving a remarkable generalization error below 3%. The company's flagship product, DeepBot, a standardized physical AI controller, is currently deployed across more than 10 countries, serving over 360 enterprise clients.

The impressive client roster of DeepCtrls includes industry titans such as semiconductor manufacturers TSMC and CXMT, technology giants Tencent and ByteDance, and leading battery producer CATL. This broad adoption across diverse, high-demand sectors highlights the versatility and critical need for DeepCtrls' energy optimization solutions. The company has experienced a notable year-over-year revenue doubling since commencing commercial operations in 2023 and has reached profitability at scale, signaling strong market traction.

The newly acquired funds will be strategically deployed to accelerate research and development initiatives, enhance the scalability of the DeepBot product line, and drive international market penetration. Key expansion targets include Southeast Asia, the Middle East, Europe, and North America. According to COO Zhang Yuxin, overseas data centers, grappling with energy and thermal management challenges, represent a particularly high-growth opportunity for the company's innovative solutions.

This funding round, which also saw participation from influential investors HongShan (Sequoia China), Source Code Capital, Guangyuan Capital, and CMC Capital, positions DeepCtrls for significant growth. The company's focus on physics-informed AI addresses a critical need in an era of increasing energy costs and environmental scrutiny. The successful closing of this Series B round is a testament to the company's innovative technology and its potential to reshape energy efficiency across global industries.