Human databefore the clinic.

Our segmentation models allow us to understand the characteristic physiological features — suggested by scientists or identified by deep learning — that underlie human pathophysiology and healthy tissue function alike.

Performing these analyses at single-cell resolution provides an incredible feature depth of human data produced by our models, allowing us to characterize and predict the complex responses observed in human clinical trials — before ever testing in patients.

Blood vessels are segmented with superb accuracy using our proprietary algorithm. Detailed topological and biomarker co-localization data underpin endpoints including vasculature efficiency, permeability, and perfusability -  all critical insights into tissue health and drug delivery.

Our platform accelerates the pace of transcriptomics data collection by allowing the inline production of cellular droplet emulsions for our transcriptomics workflows. This allows our multimodal models to learn not just from our 3D phenomics data, but from the richness of transcriptomics, as we understand — in the complex context of human tissue function — the signaling and gene expression networks that underlie health and disease. This forms a powerful basis for our target discovery engine, in combination with our ability to generate and test on human knockout & knock-down models.