Siemens and Capgemini to co-develop AI-native industrial solutions
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Siemens and Capgemini are expanding their long-standing partnership to develop a new generation of AI-native digital solutions for product engineering, manufacturing, and industrial operations. Instead of adding AI as a bolt-on feature, the companies say these solutions will embed AI “at the core” from the start.
The move underscores how industrial AI, automation and digital twins are moving into large-scale, real-world deployments with measurable efficiency and sustainability benefits.
AI-first approach for engineering and operations
The collaboration focuses on 16 capability areas spanning aerospace, automotive, life sciences, and newer segments like hydrogen and water/wastewater. It combines Siemens’ industrial automation, electrification, and sustainability technologies with Capgemini’s engineering and business transformation expertise.
A central aim is to bridge long-standing gaps between IT and OT systems. The companies plan to use “AI-native assets” — including orchestrated AI agents — to improve collaboration across engineering, production, and operations.
“For our customers Capgemini is like a compass – deeply familiar with our customers’ challenges and ambitions. Siemens provides the engine: Technologies like industrial AI, digital twins, and automation,” said Cedrik Neike, CEO of Digital Industries and Member of the Managing Board of Siemens AG. “Together, we guide our customers through their digital transformation with speed, precision, and a clear course toward the future.”
Aiman Ezzat, CEO of the Capgemini Group, added: “By combining our strengths, our ambition is to help clients navigate complexity and realize tangible business impact, setting new benchmarks for operational efficiency. As a leader in bridging the gap between the physical and digital worlds, we enable clients to transform their engineering and manufacturing operations at speed. This strengthened partnership underscores a shared commitment to delivering industrial AI and future-ready intelligent manufacturing, creating new value for industries.”
Examples of early deployments
Three industry use cases illustrate the approach:
• Airbus is using Siemens and Capgemini support as part of a decarbonization program across four industrial sites in the U.S. and U.K. Energy system digital twins will help plan measures to reduce energy use by 20% and cut Scope 1 and 2 stationary emissions by 85% by 2030.
• Sanofi is digitizing manufacturing workflows by rolling out AI-supported Manufacturing Execution Systems (MES) globally. The shift from paper batch records to digital has reduced review time by 70% and deviations by 80%.
• GravitHy, a French hydrogen producer, is digitalizing operations to improve agility and target hydrogen production cost reductions of up to 10%.
Capgemini will also expand its pool of Siemens-certified experts to support scaling. The companies currently work with more than 100 joint clients in over 20 countries.
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