en.Wedoany.com Reported - Germany's Siemens and Sweden's 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 operational design and actual performance, which leads to unplanned downtime, inconsistent maintenance plans, isolated production data, and supply chain disruptions, continuously impacting output, agility, and profit margins.
Manufacturers are under pressure to achieve more output from existing assets, including increasing production, 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 designs 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 enables safe, controlled, and auditable deployment across design, simulation, service records, and plant execution, based on both design intent and field performance.
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, as 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. Through the partnership with IFS, the two companies connect design, manufacturing, and asset lifecycle data into a secure and contextualized data fabric, combining the strengths of industrial AI to empower customers with an executable digital twin, enabling them to accelerate innovation with confidence.
Mark Moffat, CEO of IFS, noted that manufacturers need their shop floors to operate as designed, and the collaboration with Siemens brings together two companies that hold 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 close the loop between design and reality, unlocking measurable performance improvements.
