Siemens and IFS aim to connect design, production, and asset performance through industrial AI — from engineering intent to operational outcome.
Siemens and IFS have announced a strategic partnership to help manufacturers better connect engineering insights with real-world operations. By using industrial AI, the collaboration aims to improve product value and optimize production assets across the entire product lifecycle.
According to the announcement, both companies aim to help manufacturers address a long-standing challenge: the gap between how factory operations are planned and how they actually run. Issues such as unplanned downtime, disconnected maintenance schedules, siloed production data, and supply chain disruptions continue to impact productivity, agility, and margins.
Manufacturers are under growing pressure to do more with their existing assets – produce more on the plant floor, protect margins, and extend the value of equipment across its full lifecycle and react to change with greater agility and adaptability. Yet many still operate with production, maintenance planning and supply chain management systems that don’t talk to each other, meaning engineering intent, real-world performance, and service strategy remain disconnected.
How Siemens and IFS Are Advancing Industrial AI
Industrial AI is central to the partnership’s ambition. Siemens and IFS share the belief that the next era of industrial performance will be defined by bringing the physical and digital worlds together to help manufacturers translate design intent into operational reality.
Siemens’ Digital Twin brings the engineering, simulation and manufacturing context while IFS brings the service history, asset behavior and operational lifecycle data that show how those products and assets perform in the real world. Together, they plan to create a closed loop Digital Twin grounded in both design intent and field performance that is secure, governed and auditable across design, simulation, service records, factory execution and can be trusted to deploy at industrial scale.
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Industrial environments demand accuracy, reliability, regulatory compliance and adaptability to drive optimization and agility. Even small error rates are unacceptable when decisions affect safety, compliance and costly physical assets. The partners’ shared approach to industrial AI is built for this reality.
“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. “Together with IFS, we are bringing these domains together by connecting design, manufacturing and asset lifecycle data in a secure, contextualized data fabric. By converging our combined strengths in industrial AI, together we will empower our customers with our vision of an executable Digital Twin that will enable them to accelerate innovation with confidence.”
“Manufacturers need their factory floor to behave the way it was designed. This partnership with Siemens brings together two companies that each own a critical piece of the puzzle. Agentic AI is the critical frontier, and industrial leaders need solutions with closed loop models and data, and a rich set of context that will not hallucinate in active operations,” said Mark Moffat, Chief Executive Officer, IFS. “By combining our collective strengths in Industrial AI, we can help manufacturers close the loop between design and reality, and unlock real, measurable performance gains.”
