Capgemini Engineering combines, under one brand, a unique set of strengths from across the Capgemini Group: the world leading engineering and R&D services of Altran – acquired by Capgemini in 2020 - and Capgemini’s digital manufacturing expertise. With broad industry knowledge and cutting-edge technologies in digital and software, Capgemini Engineering supports the convergence of the physical and digital worlds. Combined with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 52,000 engineer and scientist team members in over 30 countries across sectors including aeronautics, automotive, railways, communications, energy, life sciences, semiconductors, software & internet, space & defence, and consumer products.


In the Gaia-X 4 KI project, Capgemini Engineering leverages many years of experience in ADAS, data management, simulation, cloud as well as self-developed AI methods. We want to showcase via proofs of concept a combination of technology and data governance that demonstrates safe, sovereign, collaborative validation of highly automated driving functions in a complex automotive ecosystem, as an intermediate step for the homologation of autonomous vehicles.

Conti Temic microelectronic GmbH is a global market leader in the automotive supply chain industry for driver assistance systems in the area of driving safety and comfort. At the group-wide ADAS Leadplant (Advanced Driver Assistance Systems)

in Ingolstadt, the latest sensor generations are manufactured, including camera, radar and LiDAR systems. Innovative manufacturing processes and smart technologies are transferred to other ADAS sites worldwide after successful verification. Additionally to comprehensive SMD/front-end and back-end production and state-of-the-art environmental simulation and test laboratories, Ingolstadt also has the company's largest prototype construction facility for basic development up to SOP readiness of the sensors. In addition to the wide range of experience in the development and series production of innovative vehicle electronics, microassembly and functional analysis, Conti Temic microelectronic GmbH is actively building up expertise in the field of artificial intelligence.

In the GAIA-X 4 KI project, Conti Temic microelectronic GmbH provides an environment for testing and verification of the developed AI-based applications. The complex data generated from various test methods will be made usable for explainable AI via suitable modeling approaches, enabling a descriptive analysis of the data and validation of the algorithms. Among other things, a standardizable methodology for reliable quality inspections will be developed.



With a presence in more than 20 countries and more than 30,000 employees, T-Systems International GmbH (TSI) is one of the world's leading providers of information and communications technology, a reliable partner for digital transformation, and an innovator in data communications, security, and sovereignty.

Here, TSI already offers end-to-end solutions with the Telekom Data Intelligence Hub (DIH), such as Data Spaces and the managed services for data space components, based on Gaia-X technology and the International Data Spaces (IDS) standard. The first services are already running in the Mobility Data Space (MDS) of the German Federal Government, for which TSI is also rebuilding the National Access Point for Mobility Data, the Mobilithek, as a data portal on IDS technology.

In Gaia-X4KI, DIH is responsible for subproject 3 under the leadership of Prof. Dr. Chris Schlueter Langdon. Together with a total of 12 partners, a data space with services is being developed that meets the special requirements of end applications with artificial intelligence in automobility. In SP4 and SP5, TSY supports the development of Digital Twins.


Through its Linksphere platform, CONWEAVER enables contextual knowledge to be utilized throughout the entire lifecycle of a product in the Gaia-X 4 KI project. For this purpose, all E2E PLM meta data is combined in terms of content and stored in an Enterprise Knowledge Graph. Contextual knowledge generated this way can thus be used quickly, very easily, and intuitively for a variety of web applications. For instance, in vehicle development or the joint development of digital services CONWEAVER has successfully demonstrated the capabilities of such a graph in solutions with well-known clients from the automotive industry.



For more than 25 years, HighQSoft GmbH has been an independent and leading provider of measurement data management systems. For our customers from the international automotive industry as well as related industries, we offer server-side distributed and scalable software platforms with central access to company-wide distributed test data. Our standardized and worldwide market-leading products support all domains (e.g. Calibration, Emissions, Powertrain, Safety, Vehicle) and are used for storing, managing, viewing, and analyzing measured test data. Our company focuses on open and customizable platforms with the integration of existing processes and toolchains.

Within Gaia-X 4 KI, our company is responsible for the secure provision of data for automotive use cases. Taking into account common standards such as openLabel and openScenario, among others, HighQSoft aims to define data clearing and services that enable the confidential exchange of information between partners in the Gaia-X ecosystem. The focus is on the connection of scalable AI methods for the analysis of ADAS data



reuschlaw Legal Consultants is the only legal consultancy within the Gaia-X 4 KI project. The goal of the expert team led by Philipp Reusch is to develop best practice reference architectures for the first time, based on the specified use cases, as to what a legal framework for Gaia-X 4 KI projects - such as production data handled with AI - might look like. Herein, the central focus is on defining quality and certification standards that offer the greatest possible security in the use and processing of data, but also on providing guidance on where existing laws can be used or where regulatory gaps need to be filled with contractual specifications. The legal guardrails are developed based on IT, data protection/cybersecurity law and data use law aim to ensure the global innovation and competitiveness of the EU project. Members of the Gaia-X 4 KI project at reuschlaw Legal Consultants are: Christoph Callewaert, Thorsten Deeg, Stefan Hessel, Monika Menz, Philipp Reusch, Miriam Schuh, Saskia Wittbrodt und Daniel Wuhrmann.



STTech GmbH is globally active, high-tech startup based in Grünwald. The STTech team offers decades of experience in research and development of products in the field of artificial intelligence (AI) and autonomous systems. Our goal is to transfer innovative knowledge from the apex of research into products and ultimately, to the market. Our developments and products in the areas of AI, robotics, autonomous systems and autonomous driving are already being used successfully in industry. STTech focuses on the networked, automated handling of AI algorithms in the field of production and autonomous driving, as well as their embedding in the necessary software-technical and legal framework.


Deutsches Zentrum für Luft- und Raumfahrt (DLR) – Institute of Transportation Systems

DLR conducts research and development in aeronautics, space, energy and transport, security and digitization. The 10,000 employees at 55 institutes and facilities share a common mission: they explore the Earth and outer space and develop technologies for a sustainable future. With its Transport program, DLR is the second largest institutionally funded transport research facility in Europe.

At the DLR Institute of Transportation Systems, forward-looking solutions are being developed for the road and rail modes of transportation. Key areas of work include the development of automated and cooperative vehicles, safety-, efficiency- and comfort-enhancing traffic infrastructure, system architectures (hardware and software), sensor technology/sensor data fusion, function development for assistance and automation, human/technology integration and HMI for automated/cooperative vehicles.

As the project coordinator, DLR manages the overall project together with Conti and leads the networking activities in other areas. In addition, DLR is addressing the issues of systemic integration of various sub-aspects of the project. These include the efficient linking of the specifically designed data rooms with the emerging service landscape based on Gaia-X technologies. DLR is also participating by providing its own infrastructure for researching the relevant core issues in the area of HPC strategies for intelligent transport applications. In addition, the scientists are developing key building blocks and specialist components for the AVF use case. The focus here is on online parameterization and map annotation as well as data acquisition and provision.

Fraunhofer ITWM



In Gaia-X 4 KI, the Fraunhofer Institute for Industrial Mathematics ITWM takes on the task of bringing together data and infrastructure, hardware and software. The ITWM working group first investigates how to effectively use the already existing infrastructure and modifies it in the next step. This new infrastructure represents the first real implementation and realization of Gaia-X 4 KI demonstrators. It is based on the guidelines of the overarching EU project and thus obtains the label "Gaia-X compliant". This is important for all international companies that want to work with it.


Fraunhofer ISST


The Fraunhofer Institute for Software and Systems Engineering ISST takes care of the exchange and compatibility between Gaia-X 4 KI and the Gaia-X initiative within the framework of the project. For this purpose, the institute is in charge of implementing the necessary interfaces to the Gaia-X Federation Services. Furthermore, Fraunhofer ISST supports the partners in the implementation of the Gaia-X 4 KI ecosystem in the area of orchestration of services as well as in the formation of a Mobility Data Space for the exchange of knowledge based on the findings of the International Data Spaces. As a central component, Fraunhofer ISST is developing a Gaia-X 4 KI Connector that can be used to manage the required data usage conditions of the automotive industry.


Fraunhofer ISST


The "Institute for Machine Learning and Analytics" (IMLA) at the University of Applied Sciences Offenburg was founded in 2019 and is currently conducting research with 12 professorships in the field of application of AI and data analysis methods. In Gaia-X 4 KI, Prof. Keuper leads subproject 2 and, among other things, is building the Gaia-X infrastructure for demonstrators at the university.



The Institute for Basic Legal Research at Leibniz Universität Hannover (LUH), headed by Prof. Dr. Stephan Meder, is the legal partner of the Gaia-X 4 KI project. The team around Ass. iur. Natalia Theissen, who leads this project area, focuses on the legal validation of the dataspace to be set up with special regard to the legal conformity of AI applications.



Die Technische Hochschule Ingolstadt (THI) is a strong research university with around 15 million in third-party funding per year. As part of the "Hightech Agenda Bavaria", Ingolstadt is being developed into an AI mobility node and will thus become a center for the application of artificial intelligence methods in the field of mobility. THI's research project within the Gaia-X 4 KI project is optimally aligned with this strategic expansion. The project supports the goal of the city of Ingolstadt and the state government to develop THI into a center of excellence for artificial intelligence in the coming years. Gaia-X 4 KI strengthens the cooperation of THI with regional and national industrial partners. In Gaia-X 4 KI, THI contributes to the use cases. The concept "Inspection as a service" ensures an important improvement to output quality of products. On the basis of understanding and determining manufacturing quality, the "Monitoring as a Service” approach track downs the functionality of the sensors and the sensor data quality in the vehicle.