DeepCtrls Showcases Physical AI at the World Intelligent Manufacturing Expo
Published: 2025-12-8
The 2025 World Intelligent Manufacturing Expo recently concluded at the Nanjing International Expo Center. As a technology pioneer in Physical AI for energy efficiency, DeepCtrls showcased DeepBot, the world’s first L4-level energy efficiency agent, alongside solutions for a wide range of applications. Through immersive demonstrations and in-depth technical presentations, the company shared its latest advances in low-carbon operations and intelligent energy management with manufacturers, industry experts, and ecosystem partners worldwide.
Fluctuating energy prices, growing climate commitments, and pressure to improve efficiency while controlling costs have made green manufacturing a central priority. The intelligence of energy systems is increasingly shaping manufacturing competitiveness.
Against this backdrop, DeepCtrls presented three highlights demonstrating its Physical AI expertise and leadership in intelligent energy optimization.
DeepBot: An AI Brain for Intelligent Energy Control
DeepBot attracted considerable attention at the exhibition. Built on DeepCtrls’ proprietary PhyAI energy efficiency engine, it integrates equipment physics models with AI, giving energy systems an AI brain capable of understanding, reasoning, and continuous improvement.
DeepBot supports plug-and-play deployment and performance validation in just 10 minutes, with data connectivity across systems and protocols. For manufacturing HVAC and compressed air systems, it enables modeling, energy consumption forecasting, real-time optimization, autonomous decision-making, and predictive maintenance.
These capabilities deliver systematic, measurable reductions in carbon emissions and energy costs while maintaining production performance.
DeepBot has become a key energy efficiency solution across sectors where energy reliability and efficiency are critical, including industrial manufacturing, biopharmaceuticals, commercial real estate, and rail transit.
Core Technology and Solutions
The Upgraded PhyAI Platform: A Transparent Energy Optimization Hub
The newly upgraded PhyAI energy optimization and control platform, which underpins DeepBot’s capabilities, made its public debut at the exhibition.
Organized around three core modules—advanced optimization, detailed modeling, and intelligent operations and maintenance—the platform provides structured digital visibility into model predictions, optimization logic, execution, and results, from individual assets to entire equipment fleets. This makes the complete optimization process transparent and explainable.
The upgrade introduces more than ten key capabilities, including AI optimization recommendations, operational simulation, and operating-limit protection. Historical optimization reviews, system simulations, and configurable equipment thresholds help managers preview strategies, identify risks, and plan ahead.
These advances extend the platform from monitoring to proactive optimization and deepen its understanding of equipment behavior, supporting safer operation, higher efficiency, and lower energy consumption.
Deployment and Key Capabilities
Demonstrating Physical AI’s Value Through Replicable Results
The ultimate measure of technology is the practical value it delivers at scale. DeepCtrls’ Physical AI energy solutions have been validated by leading advanced manufacturers, establishing practices that can be replicated and adapted across industries.
New energy: Helped Amperex Technology Limited (ATL) improve overall cooling plant energy efficiency by 29%, with COP rising from 3.9 to 5.5.
Consumer electronics manufacturing: Helped Foxconn achieve more than 24% HVAC energy savings and over 5% improvement in compressed air system efficiency, while maintaining highly stable production conditions.
Semiconductors: Delivered further efficiency improvements on top of BOE’s existing energy-saving controls, with projected annual electricity savings exceeding 8 million kWh.
Results and Industry Value
In the biopharmaceutical sector, the cooling plant at Luye Pharma saves nearly 200,000 kWh annually, with an 8% improvement in overall energy efficiency.
These deployments demonstrate the broad applicability and engineering reliability of DeepCtrls’ solutions. They also show how energy savings and cost improvements can be achieved while maintaining production safety and process requirements, delivering clear returns on investment and strengthening manufacturers’ green competitiveness.
Guided by its vision of “Making Every Kilowatt-Hour Create a Better Future,” DeepCtrls will continue advancing Physical AI and working with global industry partners to accelerate deployment in energy efficiency. Through these efforts, the company aims to provide a reliable, intelligent energy foundation for smart manufacturing and sustainable energy development worldwide.
