High HVAC Energy Use, Unstable Savings
Public buildings run continuously, with HVAC systems consuming energy around the clock. Fixed settings and manual control struggle to adapt to real-time loads, making savings difficult to sustain.
Public Infrastructure Solutions
Designed for hospitals, rail transit, commercial complexes, public building campuses, and zero-carbon parks, DeepCtrls combines the PhyAI™ Engine and DeepOS to integrate HVAC, MEP systems, smart O&M, energy and carbon management, and source-grid-load-storage coordination.
Get Your Free Energy Savings AssessmentIndustry Challenges
Public Building & Zero-Carbon Park Challenges
Complex public facilities operate long hours under fluctuating loads and strict continuity requirements,making manual O&M and rule-based control insufficient for balancing efficiency, safety, comfort, and carbon goals.
Comfort vs. Efficiency Under Variable Loads
Hospitals, transit stations, malls, and schools face changing occupancy and comfort needs. Fixed controls often cause overcooling, delayed response, or uneven comfort.
Fragmented Systems, Limited O&M Integration
HVAC, lighting, elevators, water, fire safety, medical gas, and power systems often operate in silos. Alerts, work orders, inspections, and cross-system coordination are difficult to manage, limiting O&M efficiency.
Net-Zero Campus Energy-Carbon Challenges
Zero-carbon parks must coordinate solar, storage, EV charging, loads, power prices, and carbon data. Traditional platforms focus on monitoring, lacking closed-loop source-grid-load-storage coordination and zero-carbon operations.
Solutions
AI Energy Operations for Public Buildings & Net-Zero Campuses
For hospitals, transit, commercial complexes, and zero-carbon parks,DeepCtrls integrates HVAC, MEP, smart O&M, and energy-carbon coordination to improve efficiency, safety, and operations.
HVAC Energy Optimization Solution
Reduce HVAC Energy Use, Adapt to Real-Time Demand
Adapts to weather, occupancy, schedules, and end-use demand, coordinating cooling plants, distribution, and terminal systems for continuous optimization.
Environmental & Operational Safety Solution
Balance Indoor Quality & System Stability
Dynamically adapts HVAC and ventilation to occupancy changes while maintaining comfort, air quality, and safety.
Integrated MEP Smart O&M Solution
Unify Multiple Systems, Improve O&M Efficiency
Unifies building systems for real-time monitoring, alerts, smart work orders, inspections, and AI predictive maintenance.
Energy-Carbon & Net-Zero Operations
From energy reporting to coordinated park operations
Unifies energy, carbon, renewables, storage, and loads for coordinated scheduling and continuous optimization.
Product Mapping
PhyAI Capabilities for Public Services
DeepCtrls delivers layered capabilities from unified management and system optimizationto edge deployment and device-level control for safe, efficient, low-carbon operations.
Compute-Energy & Integrated Scheduling Hub
DeepOS — AI-Native Energy OS
Hospital CampusesCommercial ComplexesGovernment CampusesNet-Zero CampusesUnified Multi-System ManagementSource-Grid-Load-Storage OrchestrationEnergy & Carbon ManagementAI Predictive MaintenanceDeepOS unifies building and energy systems across public facilities and net-zero campuses for modeling, energy and carbon management, alerts, work orders, and integrated scheduling.
L4
DeepSYS System Optimization Agent
Hospital Cooling PlantsCommercial Complex HVACRail Transit HVACPublic Building Cooling SystemsHVAC OptimizationCooling Plant Global OptimizationSystem-Level Closed-Loop ControlDeepSYS optimizes HVAC and cooling systems in public buildings to reduce energy use while maintaining comfort and safety.
L4.5
DeepBot Edge AI Agent
Small & Mid-Sized Utility PlantsPublic InfrastructureData RoomsPlug-and-PlayEdge OptimizationAutonomous OperationFor small and mid-sized facilities, public buildings, and data room retrofits, DeepBot enables rapid device integration, edge learning, real-time optimization, and local control, reducing retrofit complexity and O&M workload.
L5
DeepChip Module AI Agent
CDU ApplicationsEnergy Storage Cabinet ApplicationsMAU ApplicationsDHU ApplicationsDevice-Level ControlOn-Device InferenceSecond-Level Closed-Loop ControlAs a device-level control extension, DeepChip can be embedded in MAUs, DHUs, energy storage cabinets, and other standard equipment, enabling on-device inference, second-level decisions, and closed-loop control for more adaptive operation.
Core Systems
System Optimization for Public Buildings & Net-Zero Campuses
Covers HVAC, cooling plants, MEP systems, energy-carbon management,and zero-carbon park energy systems, from energy optimization and safe operation to zero-carbon operations.
HVAC Energy Optimization
PhyAI™ models and coordinates chillers, pumps, cooling towers, AHUs, and terminal units to reduce HVAC energy use while maintaining comfort, air quality, and safe operation.
Smart MEP Operations & Maintenance
Connects HVAC, lighting, elevators, water, fire safety, medical gas, and power systems for visual monitoring, alerts, closed-loop work orders, and AI predictive maintenance.
Cooling Plant & Air-Water System Optimization
PhyAI™ jointly optimizes chillers, pumps, cooling towers, AHUs, and terminal units to reduce HVAC energy use while maintaining comfort, air quality, and safe operation.
Net-Zero Campus Energy Management
DeepOS connects solar, storage, EV charging, HVAC, lighting, power, and load systems to enable source-grid-load-storage coordination, energy-carbon management, peak shaving, renewable integration, carbon accounting, and zero-carbon operations.
Key Benefits
4 Core Benefits
PhyAI™ and DeepOS enable energy optimization, intelligent O&M, and energy-carbon management for public buildings and net-zero campuses.
AI Energy Optimization with Verifiable Results
PhyAI™ jointly models and optimizes HVAC, cooling plants, and terminal systems, with conventional vs. optimized mode comparison for clear, measurable energy savings.
Safe Constraints, Stable Operations
Optimizes within temperature, humidity, air quality, equipment, and safety limits to ensure stable operation across hospitals, transit, and commercial facilities.
Unified O&M, AI-Powered Efficiency
DeepOS connects HVAC, lighting, elevators, water, fire safety, medical gas, and power systems, creating a closed loop for monitoring, alerts, work orders, and AI predictive maintenance.
Energy-Carbon · Net-Zero
Integrates energy, carbon, renewables, storage, and load data to support source-grid-load-storage coordination, energy-carbon management, and zero-carbon operations.
Industry Applications
For Diverse Public Infrastructure Scenarios
For hospitals, transit, commercial complexes, and zero-carbon parks,DeepCtrls leverages PhyAI™ and DeepOS to enable AI-powered energy optimization across HVAC, MEP, O&M, and energy-carbon systems.
Hospital Campuses
Ensures Stable Medical Environments while Improving Energy and MEP O&M Efficiency
For outpatient, inpatient, medical, surgical, and support buildings, DeepCtrls integrates HVAC, medical gas, lighting, elevators, water, fire safety, and power systems to improve hospital O&M efficiency and energy system stability.
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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