Calice builds computational decision infrastructure for agricultural R&D.

Our engine runs virtual field trials — simulating genotype × environment × management (G×E×M) interactions — enabling seed companies, breeders, and input manufacturers to make faster, lower-risk decisions before committing to multi-year testing cycles.

Our core technology reconstructs biological systems dynamically — extracting environmental fingerprints, modeling functional similarity across locations, and generating scenario-based performance predictions across untested environments. This goes beyond analytics: we embed decision-ready outputs directly into enterprise R&D workflows.

We work with global top organizations across seeds, biologicals, and food — supporting R&D decisions at the scale where biological uncertainty has the highest commercial cost.

Calice is not a dashboard. It's not a yield predictor. It's the infrastructure layer that reduces uncertainty at the point where biological decisions are made.

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