No Predictive Maintenance
- High risk of unexpected downtime
- Reactive maintenance instead of prediction
Level 4 System Optimization Agent｜Powered by PhyAI™
DeepSYSCompressed Air EnergyOptimization System
Optimizes compressed air generation, distribution, and demand through AI-driven control for autonomous
operation and continuous energy savings.
10%–40%Energy Savings
<3%RRMSE
MillionsOperating Scenarios Evaluated
AI L4Closed-Loop Control
Industry Challenges
Compressed Air Systems — The Hidden Energy Giant
Compressed air is one of the most important industrial energy sources after electricity.
Air compressor systems can account for 10%–40% of total industrial energy consumption, yet their energy-saving potential has long been overlooked.
Compressor Idling
- Idle operation causes energy waste
- Low operating efficiency
- Excess power consumption
Excessive Pressure Range
- Wide pressure ranges increase energy waste
- Different end-use pressure requirements
Supply Exceeds Demand
- Air supply does not match actual demand
- Significant air waste
Low Operational Efficiency
- Relies on manual adjustments
- Cannot optimize operating parameters in real time
Lack of Safety Automation
- Limited system-level protection
- Potential risks remain undetected
No Predictive Maintenance
- High risk of unexpected downtime
- Reactive maintenance instead of prediction
Compressor Idling
- Idle operation causes energy waste
- Low operating efficiency
- Excess power consumption
Excessive Pressure Range
- Wide pressure ranges increase energy waste
- Different end-use pressure requirements
Supply Exceeds Demand
- Air supply does not match actual demand
- Significant air waste
Low Operational Efficiency
- Relies on manual adjustments
- Cannot optimize operating parameters in real time
Lack of Safety Automation
- Limited system-level protection
- Potential risks remain undetected
No Predictive Maintenance
- High risk of unexpected downtime
- Reactive maintenance instead of prediction
Compressor Idling
- Idle operation causes energy waste
- Low operating efficiency
- Excess power consumption
Excessive Pressure Range
- Wide pressure ranges increase energy waste
- Different end-use pressure requirements
Supply Exceeds Demand
- Air supply does not match actual demand
- Significant air waste
Low Operational Efficiency
- Relies on manual adjustments
- Cannot optimize operating parameters in real time
Lack of Safety Automation
- Limited system-level protection
- Potential risks remain undetected
Core Technology
PhyAI™ Engine Drives Optimal System Efficiency
Powered by high-accuracy modeling, millions of scenario simulations, and global optimization,
DeepSYS continuously identifies the lowest-energy operating strategy while meeting air demand and safety constraints.
Precision Simulation
Builds high-accuracy equipment models to identify the performance of compressors, dryers, and air distribution systems, with RRMSE < 3% to support reliable system optimization.
RMSE＜3%
System-Level Global Optimization
Simulates millions of control combinations in digital models, evaluates energy performance across scenarios, and generates optimal coordination strategies.
Millions of Scenario Simulations
Parameter Coordination
Optimizes pressure, flow, loading, and operating schedules across generation, distribution, and demand, transforming compressed air systems from manual tuning to autonomous AI optimization.
Multi-Dimensional AI Coordination
System Architecture Overview
Three Layers, Building an L4 Closed-Loop Energy Optimization System
Built on a three-layer architecture of sensing, PhyAI decision-making, control execution, and validation,
DeepSYS connects data integration, simulation, optimization, autonomous control, and intelligent O&M into one energy optimization loop.
System Capabilities
Three-Level Coordination Across Air Supply, Distribution & Demand
DeepSYS matches real-time air demand with optimized pressure, sequencing, and load for efficient compressed air operation.
Air Supply-Demand Balance
System-LevelMonitors air demand in real time and optimizes pressure and flow distribution to reduce over-supply and pressure waste.
Get Your Free Energy Savings Assessment
Compressor Sequencing Optimization
Station-LevelDynamically optimizes compressor combinations, start-stop logic, pressure ranges, and downstream systems.
Get Your Free Energy Savings Assessment
Compressor Load Balancing
Equipment-LevelCoordinates fixed-speed loading, variable-speed frequency, and centrifugal compressor strategies to reduce idling and inefficient operation.
Get Your Free Energy Savings AssessmentProduct Value
Four Core Benefits for Efficient, Reliable Compressed Air Operations
Powered by PhyAI™ and L4 closed-loop control, DeepSYS transforms compressed air systems from manual tuning to autonomous AI optimization.
Global Optimal Efficiency
Simulates millions of operating scenarios to identify the lowest-energy control strategy.
Customer Cases
Proven Results, Measurable Impact
Foxconn Industrial Internet (FII)
Achieved 30 million kWh annual energy savings across four
campuses, with 23%+ HVAC savings and 3%+ compressed air savings.
AI optimization and digital O&M enhance system stability and
operational efficiency.
More Customers
Reshaping Global Compute and EnergyInfrastructure with Physical AI
Proprietary PhyAI™ Physical AI Engine
10–40% Energy Savings, Verified in Real Time
390+ Customers Across Multiple Industries