• Researchers used an innovative machine learning approach to develop a tiny model capable of running on a satellite’s limited processing power; • The trained model successfully detected cloud cover in satellite images in around a tenth of a second; • The model could easily be adapted to enable automated decision making for a range of purposes, from disaster management to deforestation.