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Routine H&E slides carry far more signal than the standard read extracts. Bioptimus models predict the spatial distribution of drug targets, the immune microenvironment, and stromal architecture directly from slides you already have — no new assays required to begin.

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What it enables

  • Turn existing H&E archives into a discovery substrate for targets and biomarkers
  • Characterize the tumor microenvironment spatially, not just globally
  • Generate hypotheses before committing to expensive spatial or molecular assays

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How it works

1

Extract features

Run H-Optimus over slide tiles to produce tile-level embeddings, or M-Optimus when molecular data is available.
2

Model the signal of interest

Train lightweight downstream models on the embeddings to predict target expression, microenvironment features, or architecture.
3

Map results back to the slide

Use tile coordinates to render spatial maps of the predicted signal.

Get started

Deploy a model and extract your first features.