Tropical cyclones, heatwaves and extreme droughts are examples of extreme climate events that are difficult to predict. Climate change has increased the likelihood and severity of such events, and predicting their occurrence is essential but difficult. The EU-funded CLINT project (https://climateintelligence.eu/) draws from data collected by the Copernicus Climate Change Service and from recent advances in artificial intelligence (AI). By applying an AI framework composed of machine learning techniques and algorithms, it processes big climate datasets for improving climate science in terms of detection, causation, and attribution of extreme events. CLINT also covers extreme events' quantification impacts on various socio-economic sectors at the pan-European scale and at the local scale in different types of climate change hotspots.