Batteries enable portable energy and as such they are ubiquitous in modern daily life and a key component for societal adaptation to climate change.  Voltaiq is committed to empowering this transition to electrification. We will cover three case studies overviewing machine learning uses in commercial battery development. We start with an illustrative case study on data form, volume, and collection method at each step throughout battery development. Next we will deep-dive and provide a case study on the use of machine learning to predict key performance metrics for a battery. We end with a study of machine learning to identify features in battery data.