Most exposure to outdoor air pollution does occur indoors (90%), causing 67% of the total burden of disease related to Indoor Air Quality (IAQ). With 90% of European citizens spending 90% of their time indoors, good indoor environment is a key public health issue. The overall annual economic cost of health impacts and mortality derived from air pollution in Europe is estimated at €1,273B. Current Air Handling Units (AHU) approaches are neither optimal nor flexible as the better IAQ they get, the more energy they consume; the more energy they save, the lower IAQ they get. Being air treatment responsible for 40% of total building consumption, about 75% of the lifetime cost of these systems is typically energy cost, and only ventilation-related operations may represent up to 26% of the electricity expenses in large offices. This project is to develop an Air Handling Optimization system to be integrated into current or new AHUs. It guarantees a predefined IAQ while optimizing the energy consumption (~40%). Its smart algorithm achieves this optimal operability by intelligently exploiting data acquired from several sensors and by combining traditional ventilation used on Earth with the actual technology for climate control in the International Space Station. The solution has been designed to fit any existing AHU, always enhancing host AHU functionalities no matter AHU capacity.