Optimize the whole conjugate, not one part at a time
Opsin learns from every round of linker, payload and conjugate data, and ranks the designs worth making next against your whole target product profile.
If your team can measure it, Opsin can learn from it
Carry linker, payload and conjugate results from every round into the next, and rank whole designs rather than one component at a time.
Move from first conjugates to a development candidate
Every endpoint learned together, from round one
Potency, hydrophobicity, plasma stability, released species and aggregation are modelled side by side across your linker and payload chemistry, so a design is judged on the whole profile rather than on the assay that happens to run first.
Learn moreChoose the batch that is worth making and the batch that teaches
Selection weighs what a design is predicted to deliver against what measuring it would settle, under your budget. Every design carries the evidence behind it, and the chemistry it came from.
Learn morePredictions committed before the lab runs
Each round's forecasts are sealed when the lab package is issued, so what the model expected can be compared with what came back. A goal is only reached on measured results, and an unmeasured constraint is never counted as passed.
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