intends to develop the best in class machine-learning algorithm to predict mobility and energy system patterns and steer millions of vehicle plugged in time in an optimal way. This more cost-effective solution will enable faster adoption of electric mobility. Our aim is to serve any type of vehicle from micro-mobility e-bikes and scooters to big trucks. We start by offering more efficient charging to E-Fleets. These drive much and see high electricity costs as a major pain point. We steer their charging at times when electricity prices are low and generate revenue by offering flexibility services to the electricity grid.