Ansatz AI uses the Hierarchical Machine Learning (HML) algorithm developed at Carnegie Mellon University to model and optimize complex chemical and material systems. HML leverages domain knowledge of these systems in the form of physical models but uses powerful tools of statistical learning to uncover the hidden connections between variables. This allows the algorithm to predict synergies based on small datasets, leading to rapid optimization that saves time and development costs. It is ultimately a design tool, working with users in solving complex problems and providing insight instead of black-box answers.