Engineering
Build a structured digital foundation for consistent simulation, reliable automation logic and sustainable reuse across every later phase.
- Structured system data
- Reusable models
- Consistent interfaces
Move through every stage of automation with one connected approach.
Explore proven use cases for testing, validation and production optimization.
From initial planning to production-ready systems and automated engineering workflows.
Build reliable virtual commissioning workflows, industrial software and reusable expertise.
Tools for the Digital Factory
RF::SUITE
One connected platform for engineering, simulation, validation and production intelligence.
Explore RF::SUITE →
Choose the tools your workflow needs and connect them within one consistent engineering environment.
We combine simulation, virtual commissioning and industrial software expertise across demanding production environments.
From individual machines to complex production lines: we connect engineering, simulation and operation throughout the entire lifecycle.
Explore IndustriesWe participate in national and international research projects focused on digital engineering, automation, artificial intelligence and sustainable production systems.
Resilient, sustainable and adaptable industrial production systems.
→ 02 Research Project REDRIVESResilient drive technologies and robust industrial production processes.
→ 03 Research Project DIGIKLEBDigital methods for connected adhesive processes and quality assurance.
→ 04 Research Project GENIUSIntelligent engineering methods for data-driven manufacturing systems.
→Learn more about EKS InTec, our locations, career opportunities and how to get in touch with our team.
A continuous digital foundation across the production lifecycle.
Engineering data, simulation models and production knowledge should not be recreated at every project phase. EKS InTec connects them across the entire production lifecycle — from the first concept to the running line and back into the next generation of engineering.
Select a phase to see how data, models and knowledge create value throughout the lifecycle.
Build a structured digital foundation for consistent simulation, reliable automation logic and sustainable reuse across every later phase.
Validate layouts, material flow, machine behavior and system interaction before hardware is available and changes become expensive.
Connect real PLC and robot programs to the digital twin. Test logic, sequences, safety behavior and interactions before the real machine exists.
Carry validated logic, tested processes and shared project knowledge into the critical transition from the virtual system to real production.
Connect real production data with the same digital basis to understand system behavior, identify bottlenecks and evaluate improvements.
Reuse digital assets to prepare operators, service teams and engineers in a safe, realistic environment without affecting production.
Production data and operational experience flow back into engineering. Models are refined instead of discarded, standards improve and the next machine, line or product variant starts with more knowledge than the last.
Consistent information across disciplines and project phases.
Validate decisions when corrections are still fast and inexpensive.
Models, data and knowledge remain useful beyond commissioning.
Operational insight strengthens future engineering and optimization.
Start with one phase or connect the complete lifecycle with EKS InTec expertise and RF::SUITE.
Each phase contributes to a consistent digital foundation. Together, they enable reliable virtual commissioning, faster ramp-up and continuous optimization throughout the production lifecycle.
Engineering builds the structured data foundation required for simulation, virtual commissioning and later optimization. Clean data models and consistent system definitions ensure that all downstream processes work reliably without manual rework.
Simulation validates machine behavior, layouts and system interactions before hardware is available. This reduces planning risks and enables errors in complex production systems to be detected at an early stage.
Virtual commissioning enables PLC and robot programs to be tested against a digital twin before the real machine is available. This reduces commissioning time, prevents collisions and ensures a smoother start-up on site.
During ramp-up, validated logic and tested processes are transferred into real production. This enables faster stabilization, fewer interruptions and a more reliable start of operations.
Monitoring and optimization connect real production data with digital models. This creates transparency, reveals improvement potential and enables system performance to be continuously analyzed and optimized.
Virtual training prepares operators, service teams and engineers using realistic digital environments. This improves knowledge transfer, reduces risks and enables efficient onboarding without interrupting production.
Engineering data does not disappear after commissioning. It becomes the foundation for simulation, validation, monitoring, optimization and the next generation of production systems.
One continuous data flow across the entire production lifecycle.
CAD data, layouts, logic and process knowledge create the digital foundation.
Models turn engineering data into a virtual environment for testing and analysis.
PLC, robots and peripherals are validated before the real system is available.
Operational data flows back into the digital model instead of dying in a spreadsheet graveyard.
Live data, KPIs and system behavior become transparent across the production environment.
Insights from operation improve cycle times, stability, energy usage and future engineering.
From highly automated production lines to safety-critical systems: EKS supports industrial companies with simulation, virtual commissioning, training and optimization across the entire lifecycle.
Validate lines, robots and PLC logic before ramp-up and optimize production performance in operation.
Support complex assembly systems with simulation-based validation, safer processes and higher planning quality.
Test robot cells, trajectories and interactions virtually to reduce collisions, downtime and commissioning risk.
Accelerate engineering workflows and deliver smarter machines with reusable digital models and connected tools.
Use digital twins and process simulation to improve transparency, monitoring and operational stability.
Increase process reliability and operator readiness with validated virtual environments and training scenarios.
Simulate material flows, automate decision-making and identify bottlenecks before they affect throughput.
Support resilient and data-driven operation with simulation-based monitoring, prediction and analysis.