Best Practise in Digital Performance.

With over 20 years of expertise, we know and understand the complexity of vehicle-related data. We can analyze them in a targeted manner and refine them in terms of the greatest possible driving experience. In this way, we ensure high data quality along an end-to-end value chain - from development to production, sales and after-sales. Essentially, we serve two strands here, our value streams: "Product Data Transparency" and "Product Data Processing."

In the "Product Data Transparency" value stream, we set the CAx/DMU data management for the new vehicles of the Mercedes-Benz passenger car series. CAx stands for "Computer-aided Systems & Processes", meaning computer-aided processes or technologies that are strongly related to development or design and downstream manufacturing steps. The x is a placeholder for different applications. We bundle our expertise in the "Product Data Transparency" value stream to ensure the quality of geometry data in the digital development of the complete vehicle.

In the value stream "Product Data Processing", we focus on the analysis of data and the optimization of bills of materials and product data, in order to ensure the data quality of the documentation throughout the entire product development process all the way to sales. This creates the ideal basis for the digital twins.

We are experts in bills of materials, product overviews, variant management and release management. In order to generate valid, efficient and, above all, fast results, we design processes, apply methods that we continue to develop, and use the latest technologies and IT systems. Because we bundle this know-how for classic product data in a single value stream, we are able to ensure a continuous product data process from development and production right through to sales and after-sales.

In the "E-PDM and Software" strand, the focus is on the expanding growth in the networking of vehicles, which has recently become more and more important. Here we plan and design methods, processes and IT systems for control units, software updates and their interaction in the vehicle. Together, they form the prerequisite for MB.WT (Mercedes-Benz World of Digital Twins) and MB.OS (Mercedes-Benz Operating System).

With Virtual Twin Solutions, we generate virtual, interactive visualization forms for the entire process chain, from engineering and factory planning to assembly planning and validation. Virtual twins are not to be confused with digital twins, which are the digital image of real-world objects. A key interchange point for the Virtual Twin Solutions is an interactive software platform that can be used, for example, to visualize and simulate 3D factory and product data. Through the direct connection to the Mercedes-Benz systems, a multitude of use cases exists for our innovative XR applications.

Among other things, we can make realistic training courses in the assembly area or global collaboration between engineers and developers possible. And all this in a virtual, safe space. In close coordination with our customers, we are constantly developing this platform, designing and realizing prototypes. With our know-how in the field of "VR" we ensure that, tomorrow too, we will still have our finger on the pulse with our solutions.

In "In-Car Solutions" we focus on display systems in the MBUX (Mercedes-Benz User Experience) environment and on various displays. To put it simply: vehicle visualizations and settings that end customers can digitally modify and experience before or during the journey. In this process, various visualization solutions, from concept video through to finished series implementation, are realized in collaboration with interdisciplinary teams from the Virtual Engineering unit. Typical examples are 3D vehicle models in the central display, display concepts for parking with the 360° camera and algorithms for controlling the ambient lighting.

The big challenge for the entire "In-Car Solutions" unit is fluid, interactive and high-quality real-time visualization. Every rotation and every change of the view on the devices leads to a new image calculation. To make this possible in a fraction of a second, we deliver the right solution: low-poly models from 3D design data.