Our application areas
Non-exhaustive list
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Generative AI
An assistant that knows your internal documents and answers by citing its sources. Agents go further: they automate repetitive tasks in your business tools, such as handling a customer request or preparing a technical file, and free up your teams for high-value work. Deployed on your premises or in the cloud, they let you make full use of your business expertise and your company's knowledge base.
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Digital twin of an industrial process
A digital replica of your process, trained on real data and/or data from numerical simulations. It lets you, for instance, anticipate drift and failures, and test new settings virtually, with no risk of breaking or damaging equipment, and without stopping production. We combine physical models and deep learning to obtain twins that are both reliable and fast.
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AI models for scientific computing
A finite element simulation can require hours of computation and costly software licences. Trained on a set of simulations, a reduced-order model produces comparable results in a fraction of a second, within its domain of validity. You explore thousands of configurations instead of a few, and since the simulation software is only used for training, you reduce your licence and computing costs.
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Industrial process optimisation
The quality of a part depends on many process parameters, linked to one another in complex ways. Finding the optimal settings often requires long and costly designs of experiments. From your test and/or simulation data, we build a model linking operating parameters to product properties. You can thus identify the settings that reach your target characteristics, with far fewer trials.