
Automation Drives
What does that mean? We are part of an international competence network in the Siemens partner ecosystem that is constantly adapting to new requirements and technologies, helping to develop and refine them and is therefore ready for the automation tasks of the future.
Whether AI, sustainability, IT/OT integration, simulation, IIoT connectivity or anything to do with digitalization – we are passionate about progress, which we want to make accessible to you through technological innovation. We offer you customized complete solutions for scalable AI-on-Edge solutions in the manufacturing industry and accompany you with commitment and passion on the path of digital transformation and the merging of the digital and physical worlds. Our basis for predictive maintenance, condition monitoring and predictive quality applications is the future-proof Siemens product and system portfolio of the highest quality.
“As a joint venture between Siemens and Volkswagen, we have been active at the interface of innovation processes and technology in automotive production for many years. The Siemens certification for our AI expertise is another important milestone and potential contribution to the digital factory of the future.”
Siemens & inpro: Scaling AI solutions on the shopfloor
Discover how we are optimizing shop floor processes with AI applications based on standardized Siemens AI hardware and software components.
Improve your OEE
Individualized AI solutions for the Siemens Industrial Edge ecosystem

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Industrial Metaverse: Technology, use cases and partnerships
Read this blog post to learn how the Industrial Metaverse can help you plan, model and implement production processes faster and more accurately.
Innovation partnership: Accenture and inpro
Accenture and inpro are combining their digitalization and innovation expertise to support industrial companies, particularly in the automotive sector. By using technologies such as AI, data analysis and evaluation or automatic image recognition, quality problems in the manufacturing industry, for example, are to be identified more quickly and resolved sustainably.