In the CampaNeo project, an open platform will be developed on which private and public institutions can create campaigns and collect and analyze vehicle data in real-time. The goal is to set up a prototype platform for secure campaign-based data collection in Hanover, Wolfsburg and in cross-regional scenarios, as well as the implementation of the first smart use cases based on the campaign data. The focus is in particular on the data ownerships of vehicle owners and the traceability of data processing. The analysis of vehicle sensor data (e.g. for the detection of driving behavior, finding of driver efficiency scores, anomaly detection, etc.) requires the creation and use of models of machine learning (ML). Among others, the CampaNeo project aims to address issues related to the efficient use of ML models, taking into account data quality and data protection aspects for real-time vehicle data. The results of the CampaNeo project include technologies and analysis techniques that are useful for many user groups such as municipalities, fleet management providers, insurance companies and service providers in the fields of data science and mobility. These results are validated together with business users in selected application scenarios and economically and scientifically exploited by the consortium and associated partners.