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COMPANY · ENTITY #2867

Emmi AI

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EVENT TIMELINE

3

COMPANIES · 1 SOURCE · Mistral AI

Mistral integrates Emmi AI to develop “physics AI” foundation for industrial engineering

Mistral says it has brought Emmi AI into its enterprise stack to build “physics AI” models that learn from solver outputs and predict full physical fields from geometry and boundary conditions, enabling inference in seconds on a single GPU. The capability is framed as part of Mistral’s AI-for-manufacturing offering and is intended to accelerate design-space exploration and operational use for partners such as ASML, Airbus, Safran, and Siemens Energy.

7.0

RESEARCH · 1 SOURCE · Mistral AI

Mistral acquires Emmi AI and doubles down on industrial 'Physics AI' research

Mistral has acquired Emmi AI and says it will intensify work on foundational 'Physics AI' for industries that shape the physical world (aerospace, automotive, semiconductors, energy). The announcement highlights several published technical contributions tied to the effort, including a new CFD dataset of ~30,000 3D transonic wing simulations, the Anchored-Branched Universal Physics Transformer (AB-UPT) that can handle raw geometry at ~9M surface and ~140M volume cells on one GPU, neural surrogates for large-scale multi-physics processes (enabling real-time simulation use-cases like fluidised bed reactors), and a framework for scaling neural operators across grid and particle simulations.

7.0

COMPANIES · 1 SOURCE · Mistral AI

Mistral AI to acquire Emmi AI to accelerate physics-focused engineering models

Mistral AI entered into a definitive agreement to acquire Emmi AI, an Austria-founded startup that develops Physics AI and large engineering models; Emmi’s team of 30+ researchers and engineers will join Mistral’s Science and Applied AI teams in May. The deal is intended to extend Mistral’s models and agents to better understand and model physics, enable integration with engineering tools, and speed industrial engineering workflows such as real-time simulation and digital twins.

7.0