At the first of July the FAIRiCUBE project kicked off in Oslo. This project aims to leverage the power of Machine Learning (ML) operating on multi-thematic datacubes and make it accessible for different types of stakeholders. This will be done via the FAIRiCUBE HUB. This will be a crosscutting platform and framework for data ingestion, provision, analysis, processing, and dissemination, to unleash the potential of environmental, biodiversity and climate data through dedicated European data spaces. In this way the HUB will contribute to the uptake of these resources by a broader community which is not intimately familiar with the worlds of Earth observation and machine learning to scope the requirements and costs of their desired analyses. Four use cases are selected to experiment and work on the data cube infrastructure and computational benefits in different domains and they will help to realise and illustrate the FAIRiCUBE HUB. The international consortium consists of Norwegian Institute for Air Research (coordinator), Wageningen Environmental Research, space4environment, Jacobs University Bremen, 4sfera Innova SL, EOX IT Services GmbH, Epsilon Italia srl and Natural History Museum Vienna.