The growing prevalence of AI in industry and the dominance of a handful of model classes have contributed to a community-wide shift toward more data-centric AI. As an AI-driven biotech company unparalleled in the range and quantity of its biomedical data, nference has built the nferX platform housing many of our ML tools to facilitate both data-driven scientific discovery and healthcare AI product development. In this case study, we provide an overview of the nferX platform and its application in biomedical NLP, with an emphasis on methods for increasing labeling efficiency in our model development pipeline