Multimodal AI platform that predicts missing biological data modalities from existing patient samples for life sciences research.
Strand AI develops foundation models that impute unmeasured biological modalities—such as proteomics or transcriptomics—from data already on hand, like H&E slides and genotypes. Pharmaceutical companies use the platform to fill cohort data gaps, reduce patient dropout from clinical trials, and discover predictive biomarkers without additional expensive assays. The company has trained a multimodal model integrating spatial biology modalities that beats state-of-the-art benchmarks at a fraction of typical cost. Strand AI is a product of Strand AI.