clinical-informatics
(3)
Century Health
Century Health is a New York-based health technology company that turns fragmented, messy electronic health record data into clean, structured, analysis-ready real-world evidence. Its AI-powered platform, CHARM (Century Health Abstraction & Retrieval Model), automates the curation, abstraction, and de-identification of clinical data to build disease-specific patient registries for pharmaceutical and life sciences research. Founded in 2023 by Vish Srivastava and Sanjay Hariharan, the company reports 97% accuracy against clinical expert judgment and raised a $5M seed round in 2026 led by Origin Ventures.
Vish Srivastava
Vish Srivastava is the co-founder and CEO of Century Health, a New York based AI company turning the messy, unstructured clinical notes buried inside electronic health records into structured, analyzable real-world evidence. Century's abstraction engine, CHARM, reads doctors' notes and pathology reports and pulls out clinical variables with 97% validated accuracy while keeping traceability back to the source document. The company focuses on therapeutic areas like gastroenterology, neurology, and rheumatology, and raised an oversubscribed $5M seed round in May 2026 led by Origin Ventures. Srivastava's pitch is simple and stubborn: the data needed to accelerate medical breakthroughs has already been collected during patient care; it just needs to be made accessible and actionable.
Dan Riskin
Dan Riskin is a physician-entrepreneur, trauma surgeon, and healthcare AI executive who founded Verantos in 2015 to generate high-validity real-world evidence from messy clinical data. A serial innovator who began coding at age 5 and sold software at 12, Riskin holds an MD from Boston University and an MBA from MIT, is board-certified in four specialties, and serves as Clinical Professor of Surgery at Stanford. His prior company Health Fidelity was acquired for more than $150 million. Today, Verantos powers regulatory and reimbursement decisions for major pharmaceutical companies by turning fragmented EHR data into research-grade evidence at scale.