ManufacturingGenerative AINatural Language ProcessingCode Generation
Siemens Industrial Copilot expanded, adopted by thyssenkrupp
thyssenkrupp Automation Engineering / Siemens
thyssenkrupp Automation Engineering integrated the Siemens Industrial Copilot for Engineering into a battery machine used for battery quality inspections on electric cars, and plans to use the genAI-powered assistant at scale engineering machines at thyssenkrupp's global locations from 2025 onwards. The Copilot assists engineers in creating TIA Portal projects, developing structured control language (SCL) code faster for programmable logic controllers, integrating code into TIA Portal, and generating machine visualization in WinCC Unified, reducing repetitive tasks like data management and sensor configuration. Separately, the Siemens Electronics Factory in Erlangen, Germany implemented the Copilot for Operations across its soldering machines, helping operators and maintenance engineers translate machine error codes into natural language and suggest solutions, reducing machine downtime and production bottlenecks. The Industrial Copilot for Operations is planned to be offered as an on-premises hardware-software bundle with the Simatic Industrial PC, powered by NVIDIA NIM microservices, so no internet connection is required and data is processed and stored on local shopfloor hardware. Natural language processing is carried out via Azure OpenAI Service on Microsoft Cloud.
