BMW And Mistral AI Improve AI in Crash Simulation

2026-05-29 From Stefanie Eckardt | Translated by AI 1 min Reading Time

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BMW and Mistral AI have entered into a partnership to further develop artificial intelligence in crash simulation, as both companies announced. The goal is to improve the quality, accuracy, and speed of complex development tasks.

BMW and Mistral AI aim to advance AI in crash simulation.(Image: BMW) — BMW and Mistral AI aim to advance AI in crash simulation.
(Image: BMW)

The scope and complexity of crash simulation at BMW highlight the need for application—specific artificial intelligence. Every week, the automaker conducts thousands of virtual crash simulations, generating large amounts of engineering data. Over time, this has resulted in a historical dataset of more than one petabyte. This dataset contains highly detailed information on vehicle structures and material behavior, providing a unique foundation for training an industrial AI model.

Large Industry Models as a Technical Foundation

For scaling, the Munich-based company relies on Large Industry Models (LIM). These AI systems are trained on industry-specific engineering and simulation data from vehicle development and safety testing. Unlike generic AI systems, LIMs integrate domain knowledge directly into the model. This requires not only industrial data but also deep expertise and technical environments where AI systems can learn directly from development processes.

Nothing ventured, nothing gained, as the old saying goes. And BMW also puts this into practice. For example, the Munich-based car manufacturer is now investing hundreds of millions of dollars to support start-ups that are familiar with AI ... (Image:BMW)

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