Its machine learning systems predict the best ways to synthesize potentially valuable molecules, a crucial part of creating new drugs and treatments. The company's system enters play when you have some exotic new compound you want to make in order to test it in real life, but don't know how to make it. After all, these molecules are brand new to science -- no one has created them before, so why should anyone know? The company leverages machine learning and a large body of knowledge about chemical reactions to create these processes, though as CSO Stanisław Jastrzębski explained, they do it backwards. "Synthesis planning can be characterized as a game," he said.