Conventional analysis or “gating” is biased and slow, making it impractical if not impossible to explore datasets fully. Conventional computational approaches fail to accurately capture real biology. To attain the full value contained in modern immune data, we have created an interpretable machine-learning method that discovers and annotates cell populations, leveraging cloud computing to massively serialize the analysis. The result is an automated single-cell analysis platform with unprecedented speed, dimensionality, and annotation depth. We are making this technology available to partners seeking to advance immune research.