Today we’re thrilled to introduce Masterful AI - a smarter, more automated way to build machine learning models. We believe that we’re at a unique point in history when we’re beginning to entrust machines with decisions that impact billions of people’s lives and livelihoods - from analyzing medical images, to driving cars, to running a manufacturing line. Yet the process to build the models powering these advances is surprisingly primitive. Machine learning may look like the space age on the outside, but it’s really the stone age on the inside. Behind the scenes, there are armies of people manually labeling training data. These armies then hand the data over to developers who manually run countless experiments to build a production-ready model. Our mission at Masterful is to bring the power and efficiency of modern software development to ML. The AutoML platform we're announcing today supports this mission by reducing labeling and shortening the time to achieve a great model. We do this in two ways: 1) we use unlabeled, augmented, and synthetic data to improve your model and 2) we automatically test and tune your training loop.