Digitalisation, AI and Data analytics are major assets to drive the industrialisation process, from material conception to manufacturing, from building and infrastructure design to investment making. Machine learning has in fact already demonstrated to be able to increase production capacity by 20%, while lowering material consumption rates by 4% and downtime by 20%. iclimabuilt will integrate these technologies to facilitate the innovation process through a more resource efficient, flexible in design and manufacturing, and productive value chain. Through machine learning approaches, data-driven approaches allow to aggregate and analyze historical data (or real-time data streaming) to provide faster informed decisions. The methodology will allow to find complex and non-linear patterns in data, aggregate and analyze them towards optimized processes for minimal cost, best quality, performance, and energy consumption. For example, machine learning can analyze vast amount of data from sensors, learn the model to understand complex relations of various parameters and increase insights of the process itself and then provide advice to operators according to a multi-dimensional process optimization. This will have a substantial impact on pilot line owners and potential clients since they will identify new potentials for improved production and improved industrial process parameters.