QSAR Lab transfer chemistry from traditional laboratories to virtual space. Main company activity is a synergy of Digitization, Green Deal and SSbD assumptions in the field of computational chemistry, advanced materials modeling, health and environment. Using in silico methods, data analysis, ML and AI helps partners increase the efficiency of the research, reduce costs and boost innovation. The QSAR Lab is responsible for establishing an inventory of KEs susceptible to be triggered by pollutants with proven effects on ABO and, in a second step, an inventory of already available in silico models dedicated to selected KEs. QSAR Lab is also responsible for the development of in silico models trained for the prediction of KEs for UFPs/NMPs. Properly designed computational models allowing the manifestation of adverse effects in the placenta.