The complexity of the problems to be dealt with, the level of detail and the degree of precision required in all sectors involved in the technological innovation process continue to increase. At the same time, the number of data and therefore the number of information to be managed grow exponentially. The use of Artificial Intelligence systems responds very well to these needs. Given these premises, it is clear that many of the investments made by large multinational companies, which have to manage a huge amount of data on a daily basis, focus on research and development in this sector. This Thesis work was created with the aim of exploiting the potential of Artificial Intelligence systems to predict the concentration of Soot at the Engine Out level emitted by a Compression Ignition Engine.