DeepCtrls Recognized Among WEF’s 100 Technology Pioneers and 10 Chinese Honorees

Background and Industry Context

The World Economic Forum (WEF) recently announced its 2026 Technology Pioneers, selecting DeepCtrls among 100 companies worldwide for its globally leading Physical AI technology for intelligent energy optimization. Deepctrls is the only Asia-Pacific company in this year’s cohort specializing in AI-powered energy optimization and control.

This recognition highlights Deepctrls’ technological advances and practical achievements at the intersection of AI and energy, demonstrating the contribution of Chinese technology companies to the global low-carbon transition.

Established in 2000, the WEF Technology Pioneers program is one of the world’s most influential initiatives recognizing innovative technology companies. Past participants include Google, PayPal, and Airbnb. Each year, the program selects 100 companies with significant growth potential and the ability to transform industries, bringing them into a community that contributes to discussions on technology, industrial development, and global governance.

Core Technology and Solutions

As AI moves from model innovation to large-scale deployment, demand for energy, computing, and storage continues to grow.

In 2026, the WEF identified AI infrastructure as a major global technology trend, noting that a defining feature of this year’s Technology Pioneers is their focus on addressing the energy and computing challenges created by rapid AI development.

Energy efficiency has therefore become fundamental to the sustainable growth of AI. As AI expands from the digital world into physical environments, Physical AI—capable of understanding equipment behavior, adapting to industrial processes, and autonomously optimizing energy systems—is emerging as an important technology for improving energy use and advancing industry.

Deployment and Key Capabilities

As a leader in AI-powered energy optimization, Deepctrls has developed PhyAI, a proprietary technology framework that marks a significant step from proof of concept to large-scale deployment of Physical AI in energy infrastructure.

PhyAI integrates physics-based models and reinforcement learning into industrial energy systems, enabling AI to understand their operating principles. It continuously collects data on equipment, environmental conditions, and changing loads, using this feedback to refine models and operating strategies.

This creates a self-improving loop of sensing, learning, decision-making, and optimization, giving energy systems the ability to learn continuously, make autonomous decisions, and adapt dynamically. It advances operations from experience-based scheduling to autonomous decision-making and real-time optimization, bringing AI directly into industrial production.

The approach also demonstrates “AI for AI” in energy management: AI improves energy efficiency, while more efficient energy infrastructure supports the continued development of AI.

Through years of practical deployment, Deepctrls has become the only company in its field to validate Physical AI across multiple industries and operating scenarios while commercially deploying L4/L5-level autonomous closed-loop control at scale.

Deepctrls now serves the semiconductor, lithium battery, new energy, data center, automotive, and pharmaceutical industries. Its operations span China, Southeast Asia, the Middle East, and the United States, with thousands of projects deployed.

By using Physical AI to optimize cooling plants, compressed air stations, HVAC, and other critical energy systems in real time, Deepctrls helps customers achieve average energy savings of more than 10%. These improvements lower operating costs and substantially reduce carbon emissions, providing a replicable, scalable approach to greener industrial and AI computing infrastructure.

Impact and Future Direction

As a member of the WEF Technology Pioneers community, Deepctrls will expand collaboration with global industry leaders, research organizations, and policy institutions. It will continue advancing Physical AI innovation and international deployment while accelerating the development of energy infrastructure for the AI era.

Through these efforts, Deepctrls aims to contribute Chinese technological innovation to the efficient, low-carbon, and sustainable development of industrial and AI computing infrastructure worldwide.