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Cooperation aims to advance machine learning
Industrial AI: Siemens and machine manufacturers agree on data alliance
Siemens, together with machine tool manufacturers - including Grob, Trumpf, Chiron, Renishaw, Heller - as well as the Machine Tool Laboratory (WZL) of RWTH Aachen and the Voith Group, has introduced an alliance that provides for the systematic exchange of engineering, manufacturing, and machine data for the development of generative AI applications in the industrial environment.
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Contribute to the cooperation for the realization of an industry-specific AI model, the Siemens Industrial Foundation Model, whose vision Siemens first presented at the Hannover Messe 2025.
“Together with customers and partners, we are taking a significant step today to scale industrial AI. I see a great opportunity here for the European economy with its strong industrial base. Automotive, chemicals, pharmaceuticals, mechanical engineering, energy, health, infrastructure, and transport among others - by making the unique data treasure of our companies available for generative AI models, we can achieve completely new levels of productivity. And the data alliance in mechanical engineering is the pioneer,” explains Roland Busch, CEO of Siemens AG.
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The alliance aims to increase efficiency and innovation cycles in the manufacturing industry through the targeted use of AI technologies. A conceivable application in the field of machine tools is the automated creation of a parts program for machine tools. This could significantly speed up the creation of parts programs while reducing the error rate in code creation. Additionally, programmers would be relieved of basic tasks and could focus on more complex challenges.
“Access to high-quality machine data from different manufacturers is the key,” comments Busch. “With this alliance, we can develop AI systems that understand the complexity in development and manufacturing, thus becoming a powerful partner for professionals.”
Use cases and goals of the data alliance
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The partnership includes the exchange of anonymized machine data under strict compliance with data protection and security standards. These data are used, among other things, for the development and training of AI models specifically tailored to the requirements of industrial manufacturing. With the data from the alliance, NC programs are to be automatically created - this is a kind of “work instruction” for special manufacturing machines.
Other use cases include predictive maintenance with precise machine-specific forecasts, adaptive manufacturing processes that adjust in real-time to changing conditions, or energy efficiency optimization through intelligent control of machine parameters.
In the long term, the alliance plans to gain more companies - even outside the machine tool industry, to use industrial artificial intelligence across industries.