First integrate. Then simulate. Then optimize.
Digital work delivers when it is built on a correct process model. In the wrong order it produces dashboards nobody trusts.
The value in a digital twin is not the visualisation. It is being able to ask what happens if the scrap mix changes, or if one crane is out of service, and get an answer that matches how the plant behaves.
That requires the process engineering to come first. We build the model from the design basis, calibrate it against real plant data, and then use it for the questions that actually cost money: capacity, bottlenecks, energy and commissioning risk.
Inside the scope
Digital twin
Plant-level real-time models for pre-execution validation of hydraulics, energy and material flow.
Logistics simulation
Scrap timing, ladle routing and heat scheduling modelled to find the bottleneck before it is built into the layout.
SCADA & HMI
Full plant visualization, alarm management and historian design, with an OT network architecture that a maintenance team can live with.
Plant simulation
Throughput and capacity validation used to support investment decisions and to shorten ramp-up.
Where we have done it
Insertec (2023): complete digital twin of an aluminium recycling plant. Třinecké Železárny (Czechia, 2025): logistics simulation for a long-products steelmaker. Hyundai Steel (USA, 2024): FEED with complete plant simulation and flow optimization. Vinton Steel (USA, 2025): industrial digitalization and process data integration. Platforms include AnyLogic, MATLAB/Simulink and Python analytics.
Is this the piece you are missing?
Send us the plant, the constraint and the timeline. You will get an engineer's answer, not a brochure.