Garbage in, garbage out. Most of the hard work in deep learning solutions is found in data prep. We spend as much time as needed to carefully analyze what we are training your model to optimize for. Since the world is messy and data reflects imperfect reality, we are vigilant to train neural networks with data that achieves your objectives, fairly.