The 112 demo consists of a graphical user interface linked to a predictive model. It emulates the data collection process during a medical emergency call and classifies the reported incident using three different but complementary labels: life-threatening event (yes/no), acceptable response delay (non-delayable, minutes, hours, days) and jurisdiction (emergency/primary care system). The underlying predictive model is composed of a deep multi-task modular neural network.