Siemens and IFS have entered into a strategic partnership aimed at helping manufacturers bridge the gap between engineering design and factory operations by leveraging Industrial AI across the entire product lifecycle.
The collaboration combines Siemens’ expertise in industrial AI, digital twins, automation and manufacturing execution with IFS’ strengths in enterprise asset management, field service and industrial AI. Together, the companies aim to create a connected ecosystem that links engineering, production and asset performance, enabling manufacturers to improve productivity, operational agility and equipment lifecycle management.
Manufacturers today face mounting pressure to maximize production output, improve margins and extend the lifespan of critical assets. However, many continue to operate with disconnected production, maintenance and supply chain systems, preventing engineering intent from translating efficiently into real-world operations.
The partnership seeks to eliminate these silos by creating a continuous feedback loop between product design and operational performance.
“Industrial AI only delivers value when it is grounded in both engineering intent and real-world performance.”
— Tony Hemmelgarn, President & CEO, Siemens Digital Industries Software
At the core of the collaboration is a shared vision for Industrial AI powered by an executable Digital Twin. Siemens will contribute its comprehensive Digital Twin technology, integrating engineering, simulation and manufacturing data, while IFS will provide operational intelligence, including service histories, asset performance and lifecycle management insights.
Together, the companies plan to build a secure, governed and auditable Digital Twin that continuously connects design intent with real-world operational data. This closed-loop approach is expected to enable manufacturers to optimize production, improve maintenance planning, reduce downtime and accelerate innovation.
Unlike generic AI models, industrial environments require highly accurate, reliable and compliant AI systems where even minor errors can have significant operational and safety implications. Siemens and IFS said their joint approach is specifically designed to meet these demanding industrial requirements.
“Industrial AI only delivers value when it is grounded in both engineering intent and real-world performance,” said Tony Hemmelgarn, President and Chief Executive Officer, Siemens Digital Industries Software. “By connecting design, manufacturing and asset lifecycle data in a secure, contextualized environment, we aim to enable an executable Digital Twin that helps manufacturers innovate with greater confidence.”
Mark Moffat, Chief Executive Officer of IFS, said manufacturers increasingly require AI systems that operate with trusted data and contextual intelligence rather than generic models.
“Manufacturers need their factory floor to behave the way it was designed,” Moffat said. “By combining our Industrial AI capabilities with Siemens’ engineering expertise, we can help customers close the loop between design and operational reality while delivering measurable performance improvements.”
The partnership reflects the growing industry shift toward AI-powered manufacturing, where real-time operational intelligence, predictive maintenance and continuous feedback between engineering and production are becoming essential for improving efficiency and resilience.
By integrating design, manufacturing execution and asset management into a unified Industrial AI platform, Siemens and IFS aim to help manufacturers reduce operational complexity, improve decision-making and build more adaptive, intelligent production environments for the AI era.
