Studying the dynamics and behaviour of cell populations is essential to further our understanding of fundamental biological process, study the effect of therapeutic interventions and ultimately develop new therapies. Emerging technologies that enable defined cell environments and high-throughput microscopy, such as the Incucyte® Live-Cell Analysis System, deliver massive amounts of imaging data of cells during development, enabling unprecedented quantitative analysis of cellular development. Due to the data size, quantitative analysis has to be automated. Fortunately, state-of-the-art machine learning solutions are up to the task and can deliver high quality analysis results. However, they require substantial domain expertise to be applied to new modalities as well as well curated data for learning. With the „Quantitative Cell Analytics Initiative“ (QuCellAI) academia partners from University of Göttingen, GWDG, UMG, MPI and Göttingen Campus Institute for Dynamics of Biological Networks (under the umbrella of CIDAS) have bundled forces with the industrial partner Sartorius to foster new biology applications, as well as new hardware & computer science modalities. The initiative is focusing on the development of cutting-edge live-cell imaging applications based on the Sartorius Incucyte platform, which is today the standard tool in image-based cell analysis for the development of novel therapies.