Siemens Partners with IFS: Industrial AI Bridges the Product Lifecycle Loop
2026-06-30 10:53
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en.Wedoany.com Reported - Siemens and IFS have announced a strategic partnership to help manufacturers connect engineering intelligence with operational reality through industrial AI, optimizing product value and production assets.

The two companies are integrating Siemens' strengths in industrial AI, engineering, automation, and manufacturing execution with IFS's capabilities in industrial AI, enterprise asset management, and field service. The collaboration aims to address the long-standing disconnect between factory operations design and actual performance, which leads to unplanned downtime, disjointed maintenance plans, isolated production data silos, and supply chain disruptions, continuously impacting output, agility, and profit margins.

Manufacturers are under pressure to achieve more with existing assets, including increasing output, protecting margins, and extending equipment lifecycles. However, many companies' production, maintenance planning, and supply chain management systems do not communicate with each other, creating a gap between engineering intent, actual performance, and service strategies.

Industrial AI is at the core of this partnership. Siemens and IFS believe that the next phase of industrial performance will be defined by the convergence of the physical and digital worlds, helping manufacturers translate design intent into operational reality and use operational feedback to improve design and accelerate innovation. Siemens' Digital Twin provides engineering, simulation, and manufacturing context, while IFS offers operational lifecycle data such as asset behavior and service history. The two companies plan to jointly create a closed-loop digital twin that, based on design intent and field performance, enables secure, controlled, and auditable deployment across design, simulation, service records, and factory execution.

Unlike general AI models, industrial environments demand high accuracy, reliability, compliance, and adaptability. Siemens and IFS's industrial AI-based approach aims to meet these requirements, where even small error rates are unacceptable in decisions involving safety, compliance, and physical assets.

Tony Hemmelgarn, President and CEO of Siemens Digital Industries Software, stated that industrial AI creates value only when it is based on both engineering intent and actual performance. By partnering with IFS, the two companies connect design, manufacturing, and asset lifecycle data into a secure and contextualized data fabric, empowering customers with executable digital twins through the integration of industrial AI advantages, enabling them to confidently accelerate innovation.

Mark Moffat, CEO of IFS, noted that manufacturers need their shop floors to operate as designed, and partnering with Siemens brings together two companies holding key pieces of the puzzle. Agentic AI is an important frontier, and industrial leaders need solutions with closed-loop models and data that do not hallucinate in real-world operations. Integrating the collective strengths of both companies in industrial AI can help manufacturers establish a closed loop between design and reality, unlocking measurable performance improvements.

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