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Simulation and industrial digital twins

The virtual representation serves a defined operating decision, with physical assumptions and validation boundaries kept explicit.

Discuss the programme family
Specialist engineering programme
One captured task

Select the right programme within simulation and industrial digital twins.

Capability dossier

The programme family

The virtual representation serves a defined operating decision, with physical assumptions and validation boundaries kept explicit. Softinator connects specialist contribution to the engineering, information and operating requirements around the task.

Choose a focused engagement

The catalogue includes robotics simulation environments, sim to real validation, domain randomisation programmes, synthetic perception data generation, simulation scenario engineering. Each programme has its own contribution, artefacts and acceptance scope. Use the programme links below to identify the relevant engagement.

Commission the work

Bring the operating task, selected environment and result that matters. The engagement establishes scope, access, delivery responsibilities and the evidence used to assess the outcome. Connected platform and project pages provide the relevant context.

Choose the programme.

Domain randomisation programmesDiversify simulation conditions around known physical and perception failure modes.Factory layout simulationAssess production flow, workcell placement and alternative factory configurations.Hardware in the loop testingConnect real controllers or equipment interfaces to controlled simulation scenarios.Human robot ergonomics simulationEvaluate shared workcell layouts and human operating constraints.Industrial digital twin integrationConnect enterprise engineering data to usable virtual equipment and process models.OpenUSD asset pipelinesPrepare reusable simulation assets with consistent structure and material metadata.Robot offline programmingDevelop and validate robot programmes in simulated workcells.Robotics simulation environmentsCreate task-specific virtual workcells and evaluation environments for robot programmes.Sim to real validationMeasure transfer gaps and validate candidate robot behaviours on representative hardware.Simulation scenario engineeringBuild scenario suites around operating constraints, edge cases and task recovery.Software in the loop testingTest robot and automation software against virtual operating environments.Synthetic perception data generationCreate controlled visual datasets with annotations for industrial perception tasks.Virtual commissioningValidate automation interactions and control logic before physical integration.Workcell collision and reach analysisAssess layouts, robot motion and interference against production requirements.

Follow the connection.

Explore the method, its context
and the engineering underneath.

Our work

Simulation policy hardening

Randomised scenarios expose distribution-shift failures and route the missing coverage back into targeted physical capture.

Trust centre

Enterprise procurement

Commercial scope, technical requirements and the evidence needed to commission the work.

Bring the next
requirement.

Discuss your programme