Rowan designs and runs the computational screen, coordinates synthesis and assays, and returns measured results your team can act on.
Start with a free target feasibility study.
Design
We turn your target, prior data, property goals, and chemical constraints into a computational search across billions of synthesizable molecules.
Make
Physics and ML narrow the search to a focused, diverse set. We work with our synthesis partner, onepot, to make the selected candidates.
Test
We coordinate the right assay (with one of our assay partners, your assay partners, or your in-house team) and measure the synthesized candidates against your target.
Analyze
We connect assay results back to the models, show what worked and why, and recommend the next design cycle.
Traditional virtual screening
A file of predicted scores
Your team still has to check synthesis, source compounds, find an assay partner, coordinate testing, and connect the results back to the models.
Rowan virtual screening
Compounds tested against your target
You receive experimental assay data, the computational context behind each compound, and a decision-ready package for the next round.
See how computational picks perform once they are synthesized and tested.
In a live medicinal-chemistry challenge with muni and onepot, muni's agentic workflow powered by Rowan proposed four compounds. After synthesis and SPR testing, all four showed binding.

We tailor each screen to your data and goals, then coordinate testing with your team, your assay partner, or one we help choose.
We identify diverse candidates from onepot's synthesizable chemical space of 30B+ compounds with custom GPU-accelerated docking and ML-based search.
As the pool narrows, we apply a target-specific ensemble of docking, co-folding, property prediction, and more accurate physics- and ML-based scoring methods.