Recent advances in sample preparation, biochemistry, and informatics tools for single-cell analysis have enabled the adoption of single-cell omics in both biomedical research and, more recently, in clinical practice. Marilyn Matz and Zachary Pitluk at Paradigm4 show how empowering the development of better therapeutics and diagnostic tools has resulted in vast, ever-growing datasets.