With the rapidly increasing amounts of chemical data, it is still a huge problem to characterize it and be able to predict the properties of compounds accurately. Currently, this is still a challenge due to the lack of open-source data and tools, so it is super exciting to see great projects that attempt to solve this problem. I recently discovered a platform called ADMET-AI developed by Greenstone Biosciences and Stanford University. It not only has a web interface but can be used locally as well providing great prediction speed. Here are some details on how this service affects the efficiency of research work, what specific functions it provides, and what benefits it has brought to the field of Drug Discovery.