At Finch, discovery and product design begins with proof-of-concept data in humans. Rather than relying on in-vitro screening of a library of isolates, we use machine learning to mine molecular data collected from human interventional studies to build a clinically annotated library of strains that drive specific clinical phenotypes of interest.