BMW Group and Mistral AI advance AI in crash simulation

AI News


Munich/Paris. BMW Group and Mistral AI are partnering to advance the use of AI in crash simulation. The aim is to improve the quality, accuracy and speed of complex engineering tasks. This collaboration marks the first step towards extending domain-specific AI across vehicle development and further areas of the BMW Group value chain.

Dr. Franz Dekker, CIO and Executive Vice President of the BMW Group, said: “By combining our engineering datasets with Mistral AI’s model training capabilities, we are building specialized AI to support complex development tasks.”

Complexity and amount of data in collision simulation

The scale and complexity of crash simulations at BMW Group emphasizes the need for domain-specific AI. The company runs thousands of virtual crash simulations every week, generating vast amounts of engineering data. Over time, this created a historical dataset of over 1 petabyte of crash simulation data. It provides highly detailed insights into the behavior of vehicle structures and materials, forming a unique foundation for training industrial AI models.

“We are proud to partner with the BMW Group as industrial AI becomes a new frontier in AI,” said Marjorie Janiewicz, Chief Revenue Officer of Mistral AI. “This collaboration demonstrates how industry-specific AI models can help solve complex engineering challenges such as crash simulation.”

Large-scale industry model as a technology base

To extend this approach, the BMW Group is focusing on so-called Large-Scale Industry Models (LIMs). These are AI systems trained on industry-specific engineering and simulation data from vehicle development and safety testing. Unlike general-purpose AI systems, LIM embeds domain-specific knowledge directly into the AI ​​model. This requires not only industrial data, but also deep domain expertise and a technical environment in which the AI ​​system can learn directly from BMW’s development processes.

This partnership highlights the importance of industrial data in the next stage of data-driven value creation and strengthens the BMW Group’s AI and innovation ecosystem.



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