Aidoc Secures $150M to Expand Clinical AI Infrastructure for Hospitals

In the U.S., diagnostic errors contribute to an estimated 371,000 deaths each year, more than the annual toll from stroke. For Aidoc, a New York-based startup, this statistic is the foundation of its business. Founded in 2016 by Elad Walach, Michael Braginsky, and Guy Reiner, Aidoc is building an AI-driven platform that aims to reduce those diagnostic lapses by embedding clinical intelligence directly into healthcare workflows.

The company just announced a $150 million funding round co-led by General Catalyst and Square Peg, with participation from NVIDIA’s NVentures and four major U.S. health systems: Hartford HealthCare, Mercy, Sutter Health, and WellSpan. The round brings Aidoc’s total funding to $370 million and includes a $40 million revolving credit facility. The capital will be used to scale up CARE, Aidoc’s new clinical-grade foundation model, and aiOS, its AI operating system for hospital systems.

Deploying Clinical AI Infrastructure 

Aidoc’s aiOS platform serves as an enterprise-grade system that allows hospitals to deploy, monitor, and measure multiple AI models across departments. Of the hospitals currently using Aidoc, the company says 69% are also running third-party models on aiOS. The system supports real-time notifications, integrates with EHRs and scheduling tools, and enables cross-functional care coordination with minimal disruption, according to the company.

This strategy has been validated by traction in the market. Aidoc reports that its platform currently supports more than 45 million patient cases annually across over 150 health systems. Its partners include large institutions such as Mount Sinai, Yale New Haven, and Northwell Health. The company aims to double that reach to 100 million patients within three years.