L4 System Optimization Agent｜ Powered by PhyAI™

DeepSYSHVAC Energy Optimization System

System-level joint modeling and global optimization for central HVAC plants. DeepSYS keeps improving system efficiency inside your demand and safety boundaries, delivering 10%–40% energy savings.

Get Your Free Energy Savings Assessment

10%–40%System Efficiency Improvement

< 3%RRMSE

MillionsOperating Scenarios Evaluated

AI L4Closed-Loop Control

Industry Challenges

Four Key HVAC Optimization Challenges

In advanced manufacturing, AI data centers, and utilities, HVAC systems face high energy use,
complex interactions, fluctuating loads, and heavy reliance on manual tuning. Rule-based control struggles to maintain optimal performance.

High Energy Consumption

Chillers, pumps, cooling towers, and terminal units run continuously, while conventional control leaves significant efficiency gains untapped.

Siloed Equipment Control

Equipment is controlled independently. Efficient individual machines do not always deliver the lowest total system energy use.

Constantly Changing Loads

Weather, production, and end-use demand keep changing, making fixed settings difficult to adapt to real-time conditions.

Reliance on Manual Tuning

Operational data is fragmented, while control strategies rely on experience and repeated tuning, making results hard to sustain and verify.

Core Technology

PhyAI™ Powers Global Optimization for HVAC Systems

Powered by physics-based modeling and AI optimization, DeepSYS intelligently coordinates cooling systems
to achieve optimal energy efficiency while ensuring operational safety.

System Architecture Overview

Three Layers, Building an L4 HVAC Optimization Loop

From sensing and modeling to optimization, control, and validation, DeepSYS enables end-to-end HVAC optimization.

Sensing & Modeling Layer

System-Wide Sensing & Precision Modeling

Multi-Source Data Integration
High-Accuracy Modeling
RRMSE＜3%

Decision & Optimization

System Intelligence & Global Optimization

System-Level Reasoning
Millions of Scenario Simulations
Global Optimization & Control

Execution & Verification

Autonomous Control & Validation

Automated Control Execution
Multi-Device Coordination
Real-Time Optimization Validation

System Optimization Capabilities

Four Core Cooling Optimization Capabilities

Powered by our proprietary PhyAI™ Engine, DeepSYS optimizes the entire cooling system
by dynamically matching cooling supply with real-time demand.

System-Level

Cooling Supply-Demand Balance

Monitors end-use demand in real time and dynamically adjusts cooling supply to reduce overcooling and energy waste.

Load ForecastingCooling Demand MatchingDemand-Based Cooling

Cooling Plant

Cooling Plant Optimization

Selects the optimal chiller combination and load allocation from live load and equipment performance, lifting overall cooling-source efficiency.

Chiller sequencingLoad allocationEfficient operation

Distribution

Pump & Tower Coordination

Co-regulates chilled-water pumps, condenser-water pumps and cooling-tower fans to optimize flow, differential pressure and supply/return temperatures.

Pump-Tower CoordinationFlow & Pressure OptimizationDistribution Energy Optimization

End System

Cooling & End-System Coordination

Coordinates valves, fans, and cooling output based on temperature, humidity, and end-use demand to maintain comfort and improve system efficiency.

Cooling-End CoordinationDynamic AdjustmentEnvironmental Stability

Core Advantages

Four Core Advantages for Efficient and Reliable HVAC Operations

Powered by the PhyAI™ Engine and L4 closed-loop control, DeepSYS enables HVAC systems to evolve from manual tuning to autonomous AI optimization.

Global Optimal Efficiency

DeepSYS combines system-level modeling and global optimization to simulate operating scenarios in real time, continuously improving energy efficiency.

System ModelingGlobal OptimizationContinuous Optimization

Get Your Free Energy Savings Assessment

Customer Cases

Proven Results, Measurable Impact

TSMC

Powered by PhyAI and data-driven optimization, DeepCtrls connects chiller plants with MAU systems to dynamically balance cooling supply and cleanroom demand, enabling equipment monitoring, anomaly alerts, and smarter O&M decisions.