DeepCtrls Secures Hundreds of Millions in Funding for Physical AI in Energy Infrastructure
DeepCtrls, a company specializing in physical AI, has successfully completed a Series B funding round, raising hundreds of millions of RMB. The investment was led by Jinko Solar, with participation from SDIC Innovation and CICC, alongside continued support from existing investors like Sequoia China and Source Code Capital. This funding will accelerate the development of its core physical AI algorithms and product lines, expand the scale of its standardized DeepBot product, and facilitate international market expansion into Southeast Asia, the Middle East, and Europe.
DeepCtrls utilizes its proprietary 'PhyAI' physical AI engine, which integrates physical principles with AI to create unique models for electromechanical energy systems. This approach aims to address the 'black box' problem in industrial AI, making it more interpretable, traceable, and transferable. Unlike many industrial AI solutions that offer diagnostic advice, DeepCtrls' AI is designed to truly understand the physical world, enabling autonomous optimization, decision-making, and closed-loop control. This represents a leap from traditional L2/L3 control levels to L4/L5 AI autonomy, targeting critical pain points in industrial and intelligent computing centers.
The company's strategy is to become a global re-architect of energy infrastructure through physical AI. DeepCtrls has already achieved significant commercial success, with revenues doubling annually since its commercialization in 2023 and achieving profitability last year. It has served over 360 major clients, including TSMC, CXMT, and CATL. The company's advanced technology, honed in complex Chinese industrial environments, provides a competitive edge for its global expansion, with products already being deployed in over ten countries and regions. Future plans include consolidating its presence in Southeast Asia and focusing on high-value markets in the Middle East and North America.
This funding round signifies growing investor confidence in the application of advanced AI, specifically 'physical AI,' to critical infrastructure sectors like energy. The company's focus on integrating physical principles with AI aims to overcome limitations of traditional AI in industrial settings, promising enhanced reliability and interpretability. As AI adoption accelerates globally, the demand for robust energy infrastructure capable of supporting massive computational loads and industrial operations will intensify. DeepCtrls' strategy to provide autonomous control and optimization for these systems positions it to capitalize on this trend. The challenge will be scaling its validated solutions across diverse international markets while maintaining its technological edge and addressing the unique energy demands of the AI era.
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