The analysis of absorption features along the line of sight to distant sources is an invaluable tool for observational cosmology, giving a direct insight into the physical and chemical state of the inter/circumgalactic medium. Such endeavour entails the accessibility of bright QSOs as background beacons, and the availability of software tools to extract the information in a reproducible way. In this article, we will present the latest results we obtained in both directions within the QUBRICS project: we will describe how machine learning techniques were applied to detect hundreds of previously unknown QSOs in the southern hemisphere, and how state-of-the art software like QSFit and Astrocook was integrated in the analysis of the targets, opening up new possibilities for the next era of observations....
