The reasoning engine for target discovery.
Closing the gap between single-cell data and portfolio-ready target decisions.
You bring single-cell data and an indication. TargetOS returns scored, de-risked target nominations with structured evidence for every candidate, combining capabilities that normally require separate teams in causal inference, statistical genetics, network biology, and clinical evidence.
Finds what others miss High-value targets that no conventional workflow will surface: regulatory drivers, cross-cell-type signals, protein-level causal links invisible to transcriptomics.
An AI scientist for every candidate Agents that assemble, weigh, and reason across genetic, molecular, and clinical evidence to build the case for or against each target. The depth a great scientist brings to one, applied to all.
Causal AI and foundation models at the core Single-cell foundation models at cellular resolution. Causal inference that resolves direction and mechanism. Not pattern-matching. Causal reasoning.
What TargetOS delivers.
Patient data in. Target decisions out.
One end-to-end system. From single-cell data to scored, de-risked target nominations with the evidence a portfolio committee needs to act. Weeks of specialist integration, automated.
Built on science, not shortcuts.
Causal AI that resolves mechanism and direction. Single-cell foundation models that learn biology at cellular resolution. Integrated evidence across genetic, molecular, and clinical dimensions. The platform doesn't approximate expert judgment. It encodes it.
AI agents that reason like your best scientists.
We are building toward a system where intelligent agents orchestrate every analytical step: from identification through evidence assembly to portfolio-ready output. The rigour your best people bring to their top candidate, applied to every one, continuously.
Why us
Causal AI and physics research
Founded by researchers in causal inference, geometric methods, and scientific machine learning, with work spanning Oxford, Bristol, CERN, and Hong Kong University.
Drug discovery from the inside
Our team includes domain specialists from leading pharma and biotech companies who have done target discovery and validation in industry.
Production AI at scale
Built and deployed ML systems in healthcare, cell therapy manufacturing, and climate science at companies from pre-seed to public listing.
See it on your data.
We work with discovery teams as partners. If you have an indication and want to see what the platform finds, let's set it up.