Multimodal foundation models to predict uncollected patient biology
Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.
Total raised
$500K
Last stage
Seed
Investors
Oded Falik
Cofounder & CTO at Strand AI Ex-Enable Medicine Building foundation models to enrich biology data and improve patient outcomes. Oded Falik, CTO, was the Tech Lead for Enable Medicine's spatial biology platform, scaling to 12B+ single-cell annotations and petabyte-scale pipelines. Programming since 8 years old, published first app on iOS app store at 11 years old.
LinkedInYue Dai
Co-Founder & CEO at Strand AI. Previously at Pathos AI (oncology foundation models), Enable Medicine (bio-AI), Microsoft Research Healthcare NExT, and Element AI. BS in Computer Science and Biology from McGill University.
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