Models were deployed based on both the complete dataset and a subset restricted to druglike molecules. These models have been integrated into a production environment, capable of providing real-time predictions for generating new compound-related data, including melting points, critical parameters, enthalpy of vaporization, and solubility in scCO A tree of dissolved substances was constructed by visualizing the full dataset and highlighting molecular drug-like compounds based on chemical structure similarity using the TMAP algorithm. Two substances, water and iodine, were excluded from the main connected tree.