Illuminating
causality
for drug
discovery

Drug discovery teams generate more data than ever, but data alone does not create mechanistic understanding. Empress was built by discovery scientists to close that gap.

Empress works as an extension of your discovery team, integrating automated functional genomics, chemoproteomics and multi-omics with causal machine learning, to deliver program-defining clarity when it’s most needed.

At the core of Empress is one of the world’s only industrialized Perturb-seq platforms, transforming CRISPR-based single-cell functional genomics from single gene, single context perturbations to a high throughput single cell genomics regime capable of interrogating hundreds to thousands of hypotheses in parallel with a turnaround time of as little as six weeks. Empress helps R&D teams move beyond ranked target lists and correlative signatures toward experimentally grounded insight into what is driving activity, efficacy, and risk.

Reach out to us at info@empresstx.com and see more from 10x Genomics.