Siemens launches Digital Twin Composer in the UK and Ireland, enabling manufacturers and infrastructure operators to simulate and optimise processes virtually, cutting costs and reducing emissions amid rising industry demands.
Siemens has begun offering a new industrial AI and simulation platform to customers in the UK and Ireland, as the German engineering group deepens its push into digital twins for manufacturing and infrastructure.
The software, called Digital Twin Composer and part of Siemens Xcelerator, was shown at Transform 2026 in Manchester, where Siemens UK and Ireland chief executive Brian Holliday demonstrated the technology alongside Anthony Hills, NVIDIA’s regional director for the UK and Ireland. The system combines Siemens digital twin data with live operational information in a secure 3D environment built on NVIDIA Omniverse libraries, allowing users to test decisions in a virtual setting before acting on them in the physical world.
According to Siemens, the appeal lies in giving industrial operators a way to model a plant, production line or broader process and then stress-test scenarios such as factory reconfiguration, new automation, higher output targets, altered warehouse flows or equipment validation. The company says this can help organisations make faster decisions while reducing exposure to cost, delay and operational risk.
The pitch is also tied to broader industrial priorities, including productivity, resilience and emissions reduction. Siemens argues that by connecting engineering and production data with physical AI, companies can identify bottlenecks, optimise throughput and cut waste without repeatedly interrupting live operations.
The platform has already been used in collaboration with PepsiCo and NVIDIA, which the companies describe as an industry-first application of digital twin technology at a global consumer goods business. PepsiCo has said early pilots in the United States helped uncover issues before physical changes were made, with reported gains including a 20% rise in throughput, nearly full design validation and potential capital expenditure savings of 10% to 15%.
Siemens says logistics group KION is also using the system to run multiple simulations in parallel, underlining the technology’s value in complex, fast-changing operations where downtime and error carry a heavy price.
Mr Holliday said industrial firms and infrastructure operators were under pressure to transform more quickly, but that factories and grids are difficult environments in which to experiment. He said simulation and industrial AI give businesses a way to trial choices in advance, improve line performance, reduce energy use and avoid costly mistakes in implementation.
The launch reflects Siemens’ wider bet that digital twin software will move further into mainstream industrial practice as companies look for ways to digitise engineering and operations at greater scale. For sectors facing decarbonisation targets as well as productivity demands, the attraction is increasingly not just visualisation, but a faster route to better-validated capital and operational decisions.
- https://techbuzzireland.com/2026/07/16/siemens-to-offer-industrial-ai-powered-simulation-software-for-the-uk-and-ireland/ – Please view link – unable to able to access data
- https://www.pepsico.com/en/newsroom/press-releases/2025/pepsico-announces-industry-first-ai-and-digital-twin-collaboration-with-siemens-and-nvidia – In January 2026, PepsiCo announced a multi-year collaboration with Siemens and NVIDIA to transform plant and supply chain operations using advanced digital twin technology and AI. This initiative marks a first-of-its-kind application of digital twins by a global Consumer Packaged Goods company to reshape plant and warehousing facilities. Early pilots in the U.S. have demonstrated significant improvements, including a 20% increase in throughput and a 10-15% reduction in capital expenditures. The collaboration aims to set a new standard for scalable, technically sound digital twin and AI integration in industrial operations.
- https://www.siemens.com/en-us/company/digital-transformation/industrial-metaverse/introducing-digital-twin-composer/ – Siemens unveiled the Digital Twin Composer at CES 2026, a breakthrough software solution that enables organizations to build and operate industrial metaverse environments at scale. This tool allows companies to combine 2D and 3D digital twin data with real-time physical information, creating secure, high-fidelity 3D experiences. The Digital Twin Composer empowers businesses to apply industrial AI and simulation to visualize, interact with, and iterate on any product, plant, or factory in its real-world context, facilitating smarter decision-making with unprecedented speed and scale.
- https://news.siemens.com/en-gb/digital-twin-composer-ces-2026/ – Siemens introduced the Digital Twin Composer, a new software solution that builds industrial metaverse environments at scale, enabling organizations to apply industrial AI, simulation, and real-time physical data to make decisions virtually. The tool allows companies to combine 2D and 3D digital twin data with real-time physical information, creating secure, high-fidelity 3D experiences. This innovation empowers businesses to visualize, interact with, and iterate on any product, plant, or factory in its real-world context, facilitating smarter decision-making with unprecedented speed and scale.
- https://blogs.sw.siemens.com/digital-logistics/2026/01/14/pepsico-reimagines-supply-chain-performance-through-digital-twins-and-ai-with-siemens/ – PepsiCo is transforming its global supply chain through an industry-first collaboration with Siemens and NVIDIA, using AI-powered digital twins to optimize operations and unlock hidden capacity. This digital-first approach is accelerating decision-making, reducing risk, and improving agility across manufacturing and logistics. The collaboration aims to establish a blueprint for a more intelligent, connected supply chain, with early results including a 20% increase in throughput at a U.S. Gatorade plant within three months and an estimated 10-15% reduction in capital expenditures by virtually validating designs and uncovering hidden capacity.
- https://www.youtube.com/watch?v=YkTGMNQ9_FI – In this CES 2026 customer spotlight, PepsiCo shares how it is using digital twins and AI—in partnership with Siemens and NVIDIA—to transform industrial operations and unlock smarter, faster decision-making. Athina Kanioura, Chief Strategy and Transformation Officer at PepsiCo, explains how engineering and operational digital twins help PepsiCo simulate, validate, and optimize factory layouts before anything is built—reducing risk, improving throughput, and uncovering hidden capacity across its global manufacturing network. This collaboration demonstrates how industrial AI, digital twins, and simulation are moving from experimentation to real-world impact, helping manufacturers become more resilient, efficient, and sustainable.
- https://arxiv.org/abs/2409.03112 – This research paper discusses the integration of AI and machine learning with digital twin technology for tokamak fusion reactors. The authors present a realistic digital twin of a tokamak, benefiting from AI-driven near-real-time simulators and NVIDIA Omniverse’s technological capabilities. The collaboration aims to deliver an interactive scientific digital twin of an advanced magnetic fusion energy (MFE) tokamak, enabling near-real-time simulation workflows. The overarching goal is to open doors to new capabilities for generating clean power, contributing to the Department of Energy’s vision for a Fusion Pilot Plant by 2035.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
8
Notes:
The article was published on 16 July 2026, which is within the past week, indicating freshness. However, the content closely mirrors Siemens’ official press release from 15 July 2026, suggesting potential recycling of information. ([news.siemens.co.uk](https://news.siemens.co.uk/news/siemens-to-offer-industrial-ai-powered-simulation-software-for-the-uk-and-ireland?utm_source=openai))
Quotes check
Score:
6
Notes:
The article includes direct quotes attributed to Brian Holliday, CEO of Siemens UK & Ireland, and Anthony Hills, NVIDIA’s regional director for the UK and Ireland. While these quotes are present in the official press release, the article does not provide direct links to verify them independently. ([news.siemens.co.uk](https://news.siemens.co.uk/news/siemens-to-offer-industrial-ai-powered-simulation-software-for-the-uk-and-ireland?utm_source=openai))
Source reliability
Score:
5
Notes:
The article originates from TechBuzz Ireland, a niche technology news website. While it provides coverage of the event, its limited reach and potential lack of editorial oversight may affect the reliability of the information presented.
Plausibility check
Score:
7
Notes:
The claims about Siemens’ Digital Twin Composer software and its applications with PepsiCo and KION are plausible and align with information from Siemens’ official press release. ([news.siemens.co.uk](https://news.siemens.co.uk/news/siemens-to-offer-industrial-ai-powered-simulation-software-for-the-uk-and-ireland?utm_source=openai)) However, the absence of independent verification sources raises concerns about the accuracy of these claims.
Overall assessment
Verdict (FAIL, OPEN, PASS): REVIEW
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article provides timely coverage of Siemens’ Digital Twin Composer software launch but heavily mirrors Siemens’ official press release, raising concerns about originality and source independence. The reliance on a niche publication with limited reach and the absence of independent verification sources further diminish confidence in the content’s reliability. A thorough review and additional verification from independent sources are recommended before publication.
