DeepCtrls Technologies Co., Ltd.

DeepSYS – PhyAI-Powered Autonomous Energy Optimization for Semiconductor Fabs and Industrial Facilities

DeepSYS is DeepCtrls’ flagship PhyAI-powered energy optimization and autonomous control system, purpose-built for semiconductor fabs, data centers, and large-scale industrial utility infrastructure. Designed for HVAC, chiller plants, compressed air systems, and other critical electromechanical assets, DeepSYS continuously optimizes system performance to reduce energy consumption while ensuring operational reliability and production stability.

Built on DeepCtrls’ proprietary Physics-Informed AI framework, DeepSYS combines high-fidelity digital twin modeling, predictive control, and self-learning optimization to evaluate hundreds of thousands of operating scenarios in real time and identify the optimal control strategy for minimum system energy consumption.

Key Capabilities

Equipment-level digital twin modeling with simulation accuracy of RMSE <3%
L4-level closed-loop autonomous control and real-time optimization
Coordinated optimization across chillers, cooling towers, pumps, HVAC, and compressed air systems
Seamless integration with heterogeneous equipment through multi-protocol connectivity
Centralized monitoring, intelligent control, and performance management

Proven Results

10–40% energy savings for cooling and HVAC systems
3–20% energy savings for compressed air systems
30%+ improvement in O&M efficiency
99.9% system availability for mission-critical operations

DeepSYS has been successfully deployed across leading semiconductor, photovoltaic, battery, pharmaceutical, and advanced manufacturing facilities, helping enterprises reduce energy costs, lower carbon emissions, and accelerate intelligent facility transformation.

Applications
Semiconductor fabs, data centers, photovoltaic manufacturing, battery production facilities, pharmaceutical plants, and large-scale industrial utility systems.

DeepBot is DeepCtrls’ plug-and-play PhyAI-powered edge controller designed for auxiliary energy systems in semiconductor fabs, industrial facilities, and data centers. Combining industrial-grade hardware with DeepCtrls’ proprietary PhyAI engine, DeepBot enables rapid digitalization, autonomous optimization, and intelligent energy management without complex engineering deployment.

Unlike traditional customized automation projects, DeepBot provides a standardized and scalable solution that can be deployed within days through non-invasive integration with existing equipment and control systems. With support for over 500 industrial communication protocols, it seamlessly connects chillers, cooling towers, pumps, HVAC systems, compressed air systems, and other utility infrastructure.

Key Features:
• Rapid deployment with automatic device discovery and minimal on-site engineering
• PhyAI autonomous control with continuous self-learning optimization
• Real-time energy-saving verification through built-in A/B performance comparison
• LLM-powered predictive maintenance and proactive fault detection
• Industrial-grade reliability with 99.9% system availability

By continuously optimizing equipment and system operation, DeepBot typically delivers 10%+ additional energy savings beyond conventional control strategies while reducing operational complexity and maintenance workload.

DeepBot helps manufacturers and facility operators accelerate digital transformation, improve energy efficiency, reduce carbon emissions, and maximize operational performance.