How we work with teams

Drug target selection and indication optimization

We integrate human genetics and real-world evidence to clarify which drug targets to advance, which indications to prioritize, and where development risk is highest across your portfolio.

R&D and clinical data insights

We combine GWAS, xQTL, PRS, and clinical data into clear, quantitative, decision-ready summaries that R&D and clinical teams can confidently act on.

Biomarkers, patient selection, and companion diagnostics

We use multi-omics data and machine learning methods to identify biomarkers and responder subgroups, then design clinical trial-enrichment and genetics-based companion diagnostic strategies so you can find and enroll the right patients faster, streamline studies, and increase the likelihood of success.