Current ML algorithms used for e.g. autonomous driving rely on large amounts of visual data. Annotating, storing, and moving all this data is extremely expensive. Moreover, not all data is necessary for the models to perform well. In fact, it can also negatively affect performance due to biases. Lightly solution allows firm to identify useful data before costly processes take place and thus reduce data related costs by up to 90% without sacrificing models' accuracy.