Connecting simulation, IoT data, and AI-driven analytics in real time
Build living digital twins that mirror your physical assets — combining high-fidelity simulation models with real-time sensor data to enable predictive maintenance, operational optimisation, and virtual commissioning before physical deployment.
What We Deliver
A digital twin is more than a 3D model — it is a living, connected representation of a physical asset that evolves with operational data. We build digital twins by fusing validated simulation models with IoT telemetry, enabling continuous performance monitoring, early fault detection, and what-if scenario analysis without interrupting physical operations.
Our approach integrates Ansys simulation tools with industry-standard IoT platforms and AI/ML analytics to deliver decision-ready insights across the full asset lifecycle — from design through decommissioning.
Key Problems We Solve
Our Capabilities
Creating high-fidelity simulation models as the foundation of the digital twin — calibrated against physical test data to provide accurate, predictive representations of asset behaviour.
Connecting the digital twin to live sensor streams from SCADA, OPC-UA, MQTT, and cloud IoT platforms — enabling real-time state estimation and anomaly detection.
Using AI-enhanced digital twins to predict equipment degradation, remaining useful life, and maintenance windows — reducing unplanned downtime and maintenance costs.
Validating control logic, interlocks, and operational sequences on the digital twin before physical commissioning — reducing on-site risks, rework, and commissioning time.
Running continuous what-if scenarios on the digital twin to optimise operating parameters — improving energy efficiency, throughput, and product quality in real time.
Using the digital twin as an immersive training environment for operators — enabling practice of complex procedures and emergency scenarios without production risk.
Connect with our digital twin team to discuss how to connect your simulation models with real-world data for continuous operational insight.