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Siemens seems to have found a home at CES over the past few years. I don’t know what it costs to give a keynote, but it’s probably well worth it, since no other major automation supplier seems to attend. I did write about a robotic exhibitor in my last post. Oh, and I’m still not likely to travel to Las Vegas for the next CES. I’ll save a ton of money and grief by receiving the news at home.

Siemens has maintained strong collaboration with Microsoft for decades—see all the Copilot news below. Recently, NVIDIA has joined the collaboration dance. Also, see news below. I think Siemens thought they’d gain penetration into the North American market through Chrysler’s acquisition by a German company plus the plants constructed by VW and BMW. That market is not so hot—see the proportion of sales into automotive by competitor Rockwell Automation, for example. Check out the customers featured by Siemens at CES this year: PepsiCo, Commonwealth Fusion Systems, Meta Ray-Ban, and Haddy.

Perhaps the best acquisition, and most successful, that Siemens ever made was with UGS years ago. While rivals have struggled with software (and competitors have nibbled at some of the Siemens applications), Siemens continues to strengthen Xcelerator and Copilot technologies. And check out the launch of Digital Twin Composer. Digital Twin technology and application seems to be finally gaining traction.

In short, Siemens announcements:

  • Siemens and NVIDIA expand their partnership to build the Industrial AI Operating System, reinventing the entire end-to-end industrial value chain through AI – from design and engineering to manufacturing, production, operations, and into supply chains.
  • Siemens launches Digital Twin Composer software, available on Siemens Xcelerator Marketplace mid-2026, to power the industrial metaverse at scale
  • PepsiCo using Siemens Digital Twin Composer to simulate upgrades to its facilities in the U.S. with plans to scale globally
  • Siemens unveils nine industrial copilots to bring intelligence across the industrial value chain
  • Siemens highlights new technologies for accelerating drug discovery, autonomous driving and shop floor efficiency

“Industrial AI is no longer a feature; it’s a force that will reshape the next century. Siemens is delivering AI-native capabilities, intelligence embedded end-to-end across design, engineering and operations, to help our customers anticipate issues, accelerate innovation and reduce cost,” said Roland Busch, President and CEO of Siemens AG.

“Just as electricity once revolutionized the world, industry is shifting toward elements where AI powers products, factories, buildings, grids and transportation. Industrial AI is no longer a feature; it’s a force that will reshape the next century. Siemens is delivering AI-native capabilities, intelligence embedded end-to-end across design, engineering and operations, to help our customers anticipate issues, accelerate innovation and reduce cost,” continued Busch. “From the most comprehensive digital twin and AI-powered hardware to copilots on the shop floor, we’re scaling intelligence across the physical world, so businesses realize speed, quality and efficiency all at once. This is how we scale a once-in-a-generation technology shift into measurable outcomes.”

Siemens and NVIDIA are expanding their partnership to build the Industrial AI Operating System – helping customers revolutionize how they design, engineer, and operate physical systems. They will work together to build AI-accelerated industrial solutions across the full lifecycle of products and production, enabling faster innovation, continuous optimization, and more resilient, sustainable manufacturing. The companies also aim to build the world’s first fully AI-driven, adaptive manufacturing sites globally, starting in 2026 with the Siemens Electronics Factory in Erlangen, Germany, as the first blueprint.

To support development, NVIDIA will provide AI infrastructure, simulation libraries, models, frameworks and blueprints, while Siemens will commit hundreds of industrial AI experts and leading hardware and software. The companies have identified impact areas to make this vision a reality: AI-native EDA, AI-native Simulation, AI-driven adaptive manufacturing and supply chain, and AI-factories.

Integration with Siemens software.

Siemens also announced that it will be integrating NVIDIA NIM and NVIDIA Nemotron open AI models into its electronic design automation (EDA) software offerings to advance generative and agentic workflows for semiconductor and PCB design. This will both maximize accuracy through domain specialization and significantly lower operational costs by enabling the most efficient model to handle and adapt to every specific need.

Product Launch

Siemens’ primary product launch at CES 2026 is the Digital Twin Composer, available on the Siemens Xcelerator Marketplace mid-2026. This new technology brings together Siemens’ comprehensive digital twin, simulations built using NVIDIA Omniverse libraries, and real-time, real-world engineering data.

With the Digital Twin Composer, companies can create a virtual 3D model of any product, process, or plant; put it in a 3D scene of their choosing; then move back and forth through time, precisely visualizing the effects of everything from weather changes to engineering changes. With Siemens’ software as the data backbone, the Digital Twin Composer builds Industrial Metaverse environments at scale, empowering organizations to apply industrial AI, simulation and real-time physical data to make decisions virtually, at speed and scale. Digital Twin Composer is part of Siemens Xcelerator, an industry proven portfolio of software used by companies worldwide to develop digital twins.

Customer application of digital twins

PepsiCo and Siemens are digitally transforming select U.S. manufacturing and warehouse facilities by converting them into high-fidelity 3D digital twins that simulate plant operations and the end-to-end supply chain to establish a performance baseline. Within weeks, teams optimized and validated new configurations to boost capacity and throughput, giving PepsiCo a unified, real-time view of operations with flexibility to integrate AI-driven capabilities over time.

Leveraging Siemens’ Digital Twin Composer, NVIDIA Omniverse libraries and computer vision, PepsiCo can now recreate every machine, conveyor, pallet route and operator path with physics-level accuracy, enabling AI agents to simulate, test, and refine system changes – identifying up to 90 percent of potential issues before any physical modifications occur. This approach has already delivered a 20 percent increase in throughput on initial deployment and is driving faster design cycles, nearly 100 percent design validation and 10 to 15 percent reductions in capital expenditure (Capex) by uncovering hidden capacity and validating investments in a virtual environment.

New Industrial Copilots Streamline Manufacturing Operations

Siemens also spotlighted its partnership with Microsoft highlighting co-building the industrial copilot.

Siemens also announced that it is expanding its set of AI-powered copilots across the industrial value chain. This will embed intelligence that extends from design and simulation to product lifecycle management, manufacturing, and operations.

Siemens will deploy nine new AI-powered copilots for its software offerings, this will include Teamcenter, Polarion, and Opcenter. These copilots, respectively, streamline product data navigation, reducing errors and accelerating time to market; automate compliance, helping to ensure faster regulatory approvals and lower risk; and transform manufacturing processes, driving cost savings and operational efficiency.

These copilots, along with the rest of Siemens’ expanding portfolio of industrial AI solutions, are available to companies of every size on the Siemens Xcelerator Marketplace.

AI-Driven Innovations in Life Sciences, Energy and Manufacturing

  • Siemens acquired Dotmatics whose Luma platform enables scientists to unify billions of data points generated across instruments and labs, creating a coherent foundation for AI-driven exploration. Combined with Siemens Simcenter simulation and digital twins, teams can rapidly test molecules, identify promising candidates, and virtually scale production to help life-changing therapies reach patients up to 50% faster and at a lower cost.
  • Bob Mumgaard, CEO and co-founder of Commonwealth Fusion Systems, described how the company uses Siemens’ technologies as it leads the path to commercial fusion. Commonwealth Fusion Systems uses design software and a strong data backbone to help it accelerate the development of fusion machines that promise clean, limitless energy for generations to come.
  • In manufacturing, Siemens announced a collaboration to bring Industrial AI to Meta Ray-Ban AI Glasses. With hands-free, real-time audio guidance, safety insights, and feedback, shop floor workers will feel empowered to solve problems efficiently and confidently.
  • Haddy is reshaping manufacturing through AI-powered 3D printing and localized micro factories that deliver sustainable, high-quality products faster and closer to customers. Facing challenges around supply chain disruption, sustainability, and production agility, Haddy partnered with Siemens to streamline design, optimize operations, and scale efficiently.

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