The Intelligence Engine

Digital Twin

Digital Twin is the intelligence engine behind Red Dot AI.  By continuously integrating live data from BMS, DCIM, sensors, etc, it creates a real-time virtual replica of your data centre, and builds a living model of your infrastructure. This enables predictive simulation, workload-aware optimization, liquid cooling management, and AI agent orchestration, helping operators optimize capacity, efficiency, and resilience in real time.

5T
Technology Foundation

5-Tier Digital Twin
Architecture

Digital Twin is built on a five-tier cognitive digital twin model. Each tier adds a layer of intelligence, from geometric spatial awareness at the foundation to fully autonomous operation at the top. Enterprise partners can deploy at any tier and progress upwards as operational maturity grows.

Cognitive twin five-tier capability stack diagram

Tier 05

Autonomous

From modelling to updating, every step in the digital twin lifecycle is automated. The system self-calibrates against real-world operational data continuously.

Tier 04

Prescriptive

Combined with AI, the platform performs control optimisation and recommends specific, ranked operational policies for cooling, power, and maintenance decisions.

Tier 03

Predictive

What-if analysis and forward simulation. Operators can model operational scenarios and validate decisions inside the digital environment before implementing them.

Tier 02

Descriptive

Connected to live sensors for real-time system state visualisation across cooling, power, and rack infrastructure. Includes AI-powered anomaly detection and alerting.

Tier 01

Geometric

The foundational spatial layer. A geometric model of the physical data centre environment, enabling accurate spatial positioning and infrastructure layout representation.