01 · Foundation
Data Engineering
Ingestion, contextualisation, visualisation & insights. We build the industrial data backbone — from historians and control systems to enterprise warehouses.
- · OT/IT integration (OPC-UA, MQTT, Kafka)
- · Contextualisation & asset hierarchies
- · Visualisation layers & KPI frameworks
02 · Intelligence
Asset Optimisation
Leveraging IIoT, analytical and AI modelling — with physics in the loop. Models that engineers trust because they reflect the process.
- · First-principles + data-driven hybrid models
- · Predictive maintenance
- · Soft sensors & process optimisation
03 · Workforce
Immersive Training (AR / VR)
Train operators on the plant before it's built. Commission faster, safer, and retain knowledge when experienced staff retire.
- · VR operator training simulators
- · AR-guided maintenance procedures
- · Safety & emergency-response scenarios
04 · The model
Digital Twin
Engineering, operations, performance — one model that evolves with the asset. Fit-for-purpose, not fit-for-demo.
- · Engineering twin (3D, design intent)
- · Operational twin (live sensor integration)
- · Performance twin (optimisation & scenario)