Strand AI

Multimodal foundation models to predict uncollected patient biology

Y CombinatorWinter 2026ActiveHealthcareDrug Discovery and Delivery

What they do

Problem

Drug developers lack complete patient biological data, making it hard to select optimal trial cohorts and slowing drug development timelines.

Solution

It builds multimodal foundation models that impute missing patient bio-data from available spatial biology modalities to enable better trial patient selection and faster launches.

Who it's for

Pharmaceutical companies and clinical trial teams selecting and stratifying patients for drug trials.

Founders

Yue Dai

Founder

Cofounder & CEO at Strand AI ex-Pathos AI, Enable Medicine, Microsoft Research, Element AI. Trained foundation models for biology on the largest patient dataset in existence.

Oded Falik

Founder

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.

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