Siemens and enterprise software provider IFS announced a strategic partnership on June 29 to connect engineering intelligence with operational reality, aiming to give manufacturers a closed-loop Digital Twin that spans design intent through real-world asset performance.
Closing a persistent gap
The collaboration pairs Siemens' strengths in industrial AI, engineering, automation and manufacturing execution with IFS's enterprise asset management and field service domains. The target is a familiar disconnect: factories are designed one way and run another, with unplanned downtime, siloed production data and disconnected maintenance schedules eroding throughput and margin. Siemens brings the engineering, simulation and manufacturing context of its comprehensive Digital Twin; IFS contributes service history, asset behavior and operational lifecycle data showing how products and assets actually perform in the field.
An executable Digital Twin
"Industrial AI only delivers value when it is grounded in both engineering intent and real-world performance," said Tony Hemmelgarn, president and CEO of Siemens Digital Industries Software, describing a vision of an "executable Digital Twin" built on a secure, contextualized data fabric. IFS CEO Mark Moffat framed the stakes bluntly: "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."
Siemens' widening AI web
The IFS deal is the latest in a rapid series of AI moves by the German industrial giant, following its industrial AI partnership with Intel announced at Computex and the Accenture acquisition of Industries Excellence built around Siemens' IndX. For manufacturers, the promise is that data generated during a product's working life feeds back into how the next version is designed and built — a continuous loop from engineering intent to operational outcome and back.
Reporting based on coverage from PR Newswire and IFS.