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AI

AI Modules

Operational Efficiency

Artificial intelligence capabilities for predictive optimization, intelligent analysis, and autonomous operations.

From cooling optimization to Tri-Agent Copilot — intelligence that works alongside your team.

3
Coordinated Agents
4.84M USD
Annual Savings
1.25
Design PUE Target
54W
Points Indexed
System Overview

AI modules cover cooling optimization, operational log query, commissioning test evidence capture and the Tri-Agent Copilot that supports monitoring, alarms and workflows.

Inference is distributed with algorithm capabilities pushed down to edge nodes, so intelligent strategies keep running close to the equipment they optimize.

Subsystems

4 Subsystems Inside AI

Cooling Optimization

Chiller plant and cooling loop optimization for measurable energy savings, driven by AI models.

4.84M USDAnnual Savings
PUE 1.25Design Target

Log Query

Operational log retrieval and analysis across building systems, with intelligent search.

IntelligentSearch
54WPoints Indexed

CX Test Screenshots

Commissioning test evidence capture for engineering delivery, automated by AI.

AutomatedCapture
CXDocumentation

Tri-Agent Copilot

Operations support across monitoring, alarms and workflows, coordinated by three AI agents.

3 AgentsCoordinated
187msControl Loop
Technical Parameters

AI Technical Parameters

Coordinated Agents
3
Tri-Agent Copilot
Annual Savings
4.84M USD
Design standard value
Design PUE Target
1.25
Design standard value
Points Indexed
54W
Operational log retrieval
Inference Mode
Distributed
Algorithms at edge nodes
Control Loop
187ms
Optimization write-back response

Platform Baseline

Every system runs on the IntelliOne platform base, so platform-level redundancy supports all five systems and their shared modules uniformly.

150ms
Data Refresh
Unified platform specification
187ms
Control Loop
Closed-loop control response
54W
Point Capacity
Largest Single-Site Deployment
99.9%
Data Consistency
Automated validation
99.9%
Platform Availability
Redundant hot-standby cluster
24/7
Operation
Mission-critical coverage

Values marked as design standard are engineering targets; 350 MW+ operating load reflects successfully delivered projects.

Technical Advantages

Redundancy Design in AI

System-Level Redundancy

Distributed inference with algorithms at edge nodes, so a single node failure does not stop global optimization logic.

Distributed Inference Architecture

Algorithm capabilities are pushed down to edge nodes instead of concentrating in a single runtime.

Strategy Continuity

A single node failure does not affect global intelligent strategies, and core optimization logic stays in effect.

Isolated Fault Domain

A fault inside this system is contained by its own redundancy design and does not spread to other modules running on the platform.

Core Reliability Value

Intelligent optimization keeps working

Each system is independently highly available: a single system fault is isolated and does not spread to other modules.

Platform Base Support

Level 1 · IntelliOne unified platform layer

Every system runs on the IntelliOne platform base, so platform-level redundancy supports all five systems and their shared modules uniformly. Dual-node hot-standby cluster, multi-copy data storage and dual communication links remove platform-level single points of failure, keeping the global management view continuously available.

Deployment-Level Redundancy

Level 3 · Engineering delivery standard

Hardware-Level Redundancy

All control hardware, gateways and core servers use industrial dual-power redundant configuration, so a single supply failure does not affect device operation.

Network-Level Redundancy

Dual physical network links are deployed, with management and control networks physically separated and each carrying its own redundant paths.

Power-Level Redundancy

Critical control nodes include UPS backup as standard, so monitoring, emergency control and data reporting continue during a power loss.

Standard delivery configuration on every project — not an optional add-on. No single point of failure on site, suited to complex grid and environmental conditions across Southeast Asia.

See AI in the Live Console

Explore monitoring, alarms and optimization flows with real-time console access.