Automotive

The transformation of the automotive industry from internal combustion engines to Battery Electric Vehicles (BEVs) introduces new technical challenges and phenomena. This elevates the already high complexity in the automotive sector, which can be effectively managed and controlled by humans with the support of AI-based simulations. IANUS also translates traditional process models into real-time process simulations, allowing areas like Smart Production Optimization to be automated and realized in accordance with the offered requirements.

IANUS Simulation, technische Entwicklung, Innovationen, Industrie 4.0, digitale Transformation, Automation, Motion & Drives, Digital Ecosystems, Energy Solutions, Engineered Parts & Solutions, Future Hub, Global Business & Markets

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Values

That’s what makes us special.

Change of Times

The mobility transition represents a significant shift in production processes for automobile manufacturers. Our solutions assist in this transition.

Green Production

IANUS makes energy expenditures and savings potentials transparent through simulated digital production twins, ready to be assessed.

Digitalization of Production

In the future, intelligent digital twins will determine the feeding of production stations and take on responsibilities in complex environments.

Do you want to know how it’s done?

Our experts are eager to take on your challenge!

Yes, I do

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Simply IANUS

How can we help you optimize your production, saving both time and costs in the process? Watch the video and get to know IANUS.

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About

What do we actually do?

Learn more about IANUS

We support industrial customers with our DeepTech solutions to enhance the technical efficiency of processes and machinery while minimizing resource consumption. Our solutions include AI-based prediction and design assistants that enable quick assessment of various design concepts using the Rapid Prototyping method and reveal potential optimization opportunities. These assistants work based on digital representations of the respective processes, which can be analyzed through fully automated simulations. This allows for the synthesis of large data pools that the AI assistant systems can operate with.