BMW is advancing engineering simulation.
Airbus is putting AI at the core of operations and processes.
“This partnership paves the way for the deployment of high-impact, high-value use cases of trusted and responsible AI in aerospace. Thanks to the high-performance models and made-to-measure support of Mistral experts, we are building the foundations necessary to power our current and future products and services, enabling us to serve our customers better.”
Executive Vice President Digital, Airbus
ASML is identifying sub-system errors 70% faster.
“The collaboration between Mistral and ASML aims to generate clear benefits for ASML customers through innovative products and solutions enabled by AI, and will offer potential for joint research to address future opportunities. We believe that this strategic partnership with Mistral, which goes beyond a traditional vendor-client relationship, is the best way to capture this significant opportunity.”
President and Chief Executive Officer, ASML
What sovereignty looks like
for manufacturing.
Control your data.
Build proprietary AI on design, product, and operational data without any of it leaving the environment you control.
Own your intelligence.
Tailor models to your engineering workflows, sharpen them with proprietary data and feedback, and upgrade or replace them without losing what you built.
Choose your compute.
Run training and inference on-premises, in a private cloud, or at the edge. Maintain dependable access to the GPU capacity your simulation and engineering workloads require.
Govern your operations.
Govern identity, monitoring, and access across every model and workflow, with visibility into how your AI behaves as it scales.
Put AI at the heart of your lifecycle.
Build better products faster from governed engineering context. Capture engineering context across specifications and change history. Automate CAD analysis, BOM, and CAD-to-CAM. Use coding models and agents for generation, review, and modernization, adapting to proprietary codebases.
Test more variants in parallel with Physics AI. Train Physics AI surrogates on CFD, flow, and crash-test data for rapid what-if analysis. Compare full-fidelity results with requirements and physical-test evidence to support sign-off.
Optimize yield and deploy robotics across your factory. Apply models to process engineering and production throughput. Deploy VLMs for navigation and co-develop VLA models for manipulation tasks on the factory floor.
Catch defects earlier and keep operations running. Adapt vision models for defect analysis and root cause tracing. Monitor plant and products performance with time-series models for anomaly detection. Preserve confirmed resolutions as feedback for reuse.
One team, from use case to production.
Work with Mistral's experts to turn critical use cases into production AI built for your organization.
