In this study, we developed a global model based on the most extensive dataset, capable of predicting solubility at specified pressures and temperatures solely from the molecular structure of the solute. The proposed approach simultaneously addresses closely related tasks, including the prediction of solubility in scCO 2 , melting point, enthalpy of vaporization, critical pressures and temperatures, as well as Gibbs free energy of solvation. By advancing toward more sustainable solutions, the methodology presented in this study serves as a valuable tool for researchers aiming to optimize supercritical fluid processes. We anticipate that the integration of large-scale processes utilizing supercritical carbon dioxide as a medium will accelerate the adoption of green chemistry methods and pave the way for a more sustainable future, offering efficient alternatives to traditional organic solvents.