Mistral AI has acquired Emmi AI to add physics modeling and industrial simulation capabilities to its AI systems for engineering and manufacturing. The deal brings Emmi AI’s physics AI models, large engineering models and team of more than 30 researchers and engineers into Mistral AI’s Science and Applied AI groups.
Mistral AI plans to extend its models so they can understand fundamental physics and support AI agents that work with existing engineering tools. The acquisition also supports the company’s Science roadmap by adding industrial data, and engineering simulation methods.
Emmi AI develops physics AI systems for industrial engineering. Its technology supports engineering workflows, product design cycles, simulations and digital twins used to analyze and operate industrial assets. The company’s models are designed to replace multi-day computations with simulation methods.
Emmi AI’s co-founders and researchers will join Mistral AI in May’2026. Their work will support Mistral AI’s efforts to build AI agents that can combine model reasoning, physics simulation and existing engineering software.
Arthur Mensch, co-founder and CEO, Mistral AI said: “This strategic acquisition cements Mistral AI’s leadership in industrial AI and positions us as the partner of choice for manufacturers in high-stakes sectors like aerospace, automotive, or semiconductors. It empowers our customers with a fully integrated platform to solve complex challenges, transform core R&D processes, and accelerate high-value innovation.”
Guillaume Lample, co-founder and chief science officer, Mistral AI added: “This acquisition marks a turning point for industrial innovation. By engineering the first comprehensive AI stack fueled by Physics AI, we are set to deliver real-time simulations and sophisticated digital twins. We aim to break through long-standing technical barriers that have slowed progress for decades, enabling our partners to solve the world’s most daunting engineering challenges.”
Johannes Brandstetter, Emmi AI’s co-founder and chief science officer commented: “This is a pivotal moment for the future of industrial engineering and the broader AI4Science movement. At Emmi AI, we have dedicated ourselves to solving high-stakes physical challenges, ranging from the real-time stabilization of power grids to the intricate simulation of injection molding and automotive safety testing. By integrating our expertise into Mistral AI’s world-class AI ecosystem, we are positioned to revolutionize core R&D. Together, we are providing the foundational intelligence required to design and build the next generation of aircraft, vehicles, and semiconductors.”
Source: Mistral AI
About Mistral AI
Mistral AI is a French artificial intelligence company founded in April 2023 and based in Paris. The company develops large language models that organizations can adapt to their needs. Its products include open-weight models, conversational assistants, and generative-AI platforms. Mistral serves technology companies, commercial enterprises, and public-sector agencies that operate under stringent security and compliance requirements. As of 2025, the company employs about 150 people worldwide. Mistral’s tools are designed to give users control over model behavior and deployment, allowing organizations to shape AI systems for operational goals.
About Emmi AI
Emmi AI is an industrial AI company that develops physics-based models for engineering simulation. Founded in 2024, the company is headquartered in Linz, Austria. It provides Large Engineering Models, the Noether Framework, physics-validated datasets, NeuralWing and NeuralMould. Its systems train, fine-tune and deploy physics AI models for industrial simulation work. The company supports fluid flow, heat transfer, structural mechanics, injection molding and aircraft wing design. It also works on power transformers and other industrial simulation processes. Emmi AI serves research labs, simulation software companies, manufacturers and industrial enterprises. Its stated sectors include aviation, energy, semiconductors, automotive, aerospace and manufacturing. The company develops tools for real-time inference and model training on GPU infrastructure.