Here, we leveraged state-of-the-art cheminformatics software and large compiled solubility datasets to develop accurate and generalizable solubility models. In stringent extrapolation, we observe a 2-3 fold decrease in RMSE over the literature best model from Vermeire et al.. In addition, due to the relative simplicity of the architecture and the more modern code, inference times with this approach are up to fifty times faster. To the best of our knowledge, our models are the best performing solvent-and temperature general models in the literature on solute extrapolation.