For example: What patient population should receive the drug? How does the drug’s mechanism of action compare to the standard of care?

We produce high-quality, multiomic data from clinical and preclinical samples using cutting-edge wet lab and computational pipelines. These are transformed into a uniform single-cell data foundation with unmatched resolution.

Generated data is enriched with AMICA, the world’s largest immune-focused, harmonized single-cell database. By integrating our vast data and immune knowledge, we enhance analytical power to deliver deeper, more precise insights.

Leveraging our advanced machine learning platform, we compute novel immune features, linking immune mechanisms to treatment responses and outcomes.

Utilizing functional genomics, we validate ML-driven hypotheses in the lab to ensure robust and actionable insights.

Our recommendation engine provides clear, actionable paths forward – how to proceed and why, in order to increase confidence in decision making.