At Biostate.ai, we believe biology is inherently generative, today’s state determines tomorrow’s outcomes. In some sense this is similar to how ChatGPT enables a few words to generate future words. Our vision is to make biological systems and healthcare predictable by capturing and understanding these dynamic transitions.

We’re building what is rapidly becoming the world’s largest RNAseq database by dramatically reducing sequencing costs through our proprietary technologies. Our assays make RNAseq and other omics accessible at unprecedented scale, while our AI extract meaning from this massive influx of data. These foundation models, trained on diverse RNA expression profiles, captures the dynamic nature of biology, including diseases and therapies, in ways genomics or other molecules cannot. Enabling us to not only understand the disease present but also design new drug molecules as well as therapy design itself. This fundamental transformation in clinical decision-making, drug development, and patient care is not just possible, it’s imminent!