How to Integrate AI and Machine Learning into Engineering Simulation?

Our Consulting Service Bridges the Gap Between AI and Simulation Expertise

Bring AI into Your Simulations — With Expert Support

Integrating Artificial Intelligence and Machine Learning into engineering simulation is a powerful opportunity—but also a complex challenge. Whether you’re exploring ways to optimize designs, speed up computations, or gain deeper insight from your data, the path forward isn’t always obvious.

That’s why we’re here: to support your team in building and implementing their own AI solutionsstep by step.

Our consulting service is designed for simulation engineers and teams who want to take ownership of their AI journey. We don’t offer black-box tools. Instead, we help you understand what’s possible, identify where AI adds the most value, and guide you through every stage of implementation.

You’ll be building the model. You’ll be deciding how it fits into your workflow. And we’ll be right there with you—to offer guidance, answer questions, and help troubleshoot as challenges arise.

We bring deep experience in FEA and CFD simulation, and our past collaborations have included:

  • AI-assisted design optimization

  • Surrogate modeling to replace costly simulations

  • Integrating ML models into larger software environments

  • Setting up projects from scratch, including data handling and model training

  • Developing Physics-Informed Neural Networks (PINNs) for simulation-informed learning

For advanced CFD needs, we partner with CFD Consultants GmbH, combining cutting-edge simulation expertise with tailored AI integration.

We know that applying AI in simulation isn’t a plug-and-play solution. It’s a process—and we’ll support you through all of it, from first idea to working prototype and beyond.

Let’s explore how your team can build the right AI tools for your applications. Get in touch to start the conversation.