Health systems and insurers have no shortage of data. Their real problem is turning a warning light into an owned, measurable action - and this 33-year-old software company has rebuilt itself around that stubborn last mile.
MDClone is a healthcare data company that lets clinicians, researchers, and analysts explore patient data without touching real patient records. Its ADAMS platform ingests structured and unstructured health-system data into a longitudinal database, then generates statistically faithful synthetic data that carries no risk to patient privacy. That combination turns months-long, IRB-heavy data requests into self-service exploration, letting front-line staff ask their own questions, run analyses, and share results across organizations. Founded in Israel in 2016 and used across the U.S., Canada, and 100% of the Israeli healthcare market, MDClone has raised roughly $112M to expand data-driven discovery in health systems, government, payers, and life sciences.
Elliott Green is the co-founder and CEO of Dandelion Health, a New York-based real-world data and clinical AI platform building multimodal, longitudinal datasets from a consortium of non-academic health systems. A former founding member of Oscar Health with a finance background, Green launched Dandelion in 2020 to give life science companies and AI developers unbiased, clinical-grade data - including the images, waveforms, and notes that make up most of medicine but are rarely used. The company closed a $14M Series A in 2026 and has launched a free AI validation service and a GLP-1 data library aimed at bringing precision medicine to cardiometabolic disease.
Novellia is a New York-based digital health company that lets patients pull together their complete medical history from more than 50,000 U.S. healthcare systems into one free app, then choose whether to share de-identified versions of that data with drug companies and researchers. Using proprietary natural language processing, Novellia turns messy, unstructured clinical text - physician notes, lab narratives, diagnostic reports - into clean, research-ready longitudinal datasets. The result is a two-sided model: patients regain control of their records at no cost, while life sciences organizations get higher-quality, patient-consented real-world data than the fragmented claims-based datasets they buy today.
xCures is an AI-powered health-data platform that automatically retrieves medical records from any care site in the United States, then structures, normalizes, and validates that messy, unstructured data into searchable, source-traceable clinical insights. Born in oncology, it generates regulatory-grade real-world evidence, AI-built clinical checklists, and natural-language patient summaries that help researchers, biopharma, advocacy groups, and clinicians understand each patient's full medical journey - and run continuously learning 'virtual trials' across all patients, all treatments, all the time.
Evidation is a digital health company that gathers real-world health data from millions of consenting individuals through its Achievement app, turning everyday signals from wearables, sleep, activity and surveys into insights for clinical research, life sciences partners, and personalized health programs.