Siemens presents AI-based industrial technologies

Siemens and NVIDIA announced the expansion of their collaboration to develop an operating system dedicated to industrial AI. This initiative aims to cover the entire industrial lifecycle, from design and engineering through manufacturing, operations, and supply chains.

Under this partnership, NVIDIA will provide computing infrastructure, simulation libraries, and AI models, while Siemens will contribute its specialized teams along with its industrial software and hardware solutions. The identified focus areas include AI-assisted electronic design, simulation, adaptive manufacturing, and data-driven supply chains. An initial industrial site serving as a demonstrator is planned from 2026 at Siemens’ electronics plant in Erlangen, Germany.

Siemens also announced the integration of NVIDIA NIM and Nemotron models into its electronic design tools to support generative and agent-based workflows for semiconductor and electronic board design.

Launch of the Digital Twin Composer software
Among the product announcements, Siemens introduced Digital Twin Composer, a software solution scheduled to be available on the Siemens Xcelerator Marketplace from mid-2026. The solution combines Siemens digital twins, simulation environments based on NVIDIA Omniverse libraries, and real-time engineering data.

Digital Twin Composer enables the creation of three-dimensional representations of products, processes, or industrial facilities, and the analysis of the impact of technical or environmental changes within a virtual environment. The objective is to support decision-making upstream of physical deployments, based on consolidated data and dynamic simulations.

Industrial use cases
Siemens cited PepsiCo among the first users of Digital Twin Composer. The food and beverage group uses the solution to model selected production and logistics facilities in the United States. The digital twins are used to simulate production flows and supply chains, assess different configurations, and identify operational constraints before any physical changes are implemented. PepsiCo plans to extend this approach to additional sites worldwide.

Deployment of AI-based industrial copilots
Siemens also announced the introduction of nine industrial copilots integrated into its software solutions, including Teamcenter, Polarion, and Opcenter. These tools are intended to assist users with product data management, regulatory compliance, and the planning and execution of manufacturing operations.

These copilots are part of a broader collaboration between Siemens and Microsoft aimed at bringing information technology and operational technology systems closer together through AI technologies. All of these solutions are offered via the Siemens Xcelerator platform.

Applications in life sciences, energy, and industry
In the life sciences sector, Siemens highlighted the integration of technologies from Dotmatics, which was recently acquired, to consolidate and leverage large volumes of research data for drug discovery and development applications. These capabilities are combined with simulation tools and digital twins.

In the energy sector, Siemens presented collaborations with organizations working on nuclear fusion, using design and data management tools for the development of new facilities.

In industrial environments, Siemens also announced a collaboration to integrate industrial AI capabilities into wearable devices, including smart glasses, to support operators on production lines with real-time, contextual information.

www.siemens.com