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Network Bio is a Palo Alto, California biotechnology company founded in 2022 that builds disease-specific AI models from human biological data. Its vertically integrated platform combines a biological research network that sources, links and structures tissue, blood and longitudinal clinical outcomes from leading U.S. academic medical centers (Mass General Brigham, University of Pennsylvania, Duke University, University of Colorado Anschutz and UCSF, spanning 500,000+ patients across oncology, immunology, metabolic and cardiovascular disease) into AI-ready datasets, with a bio-native AI architecture purpose-built to learn from multimodal biological data, overcome technical confounders and batch effects, and generate interpretable representations of disease biology that generalize across diseases, tissues and modalities.

Tiny Health, founded in 2020 in Austin, Texas, started with infant gut health in the first 1,000 days and offers at-home gut and vaginal microbiome testing across the lifespan. Its TinyAI, trained on nearly 200,000 proprietary microbiome profiles, delivers personalized guidance tied to results; it serves nearly 200,000 customers and more than 6,000 healthcare practitioners.

Subtle Medical, founded in 2017 in Menlo Park, California, USA, develops machine learning medical imaging software to enhance MRI, PET, and CT images, reduce scan times, denoise images, and improve image quality on existing equipment.

Lucis, founded in 2024 in Paris, France, helps consumers monitor metabolic health, hormone levels, cardiovascular risk, inflammation, and nutritional status based on blood biomarker analysis and AI-driven recommendations.

Function , a four-year-old Austin startup that provides consumers with recurring lab testing, optional medical imaging, and personalized health insights to monitor risks before symptoms develop, raise d a $450 million round led by General Catalyst's Customer Value Fund . More here .

Regard, founded in 2017 in Los Angeles, analyzes patient health data with AI to help physicians detect conditions faster and improve diagnostic accuracy by mining thousands of data points from medical charts.