Aidoc deploys AI across medical imaging, cardiology, neurology, and pulmonology workflows at health systems. The tech stack (Python, Go, TensorFlow, PyTorch on AWS/Azure) reflects an ML-heavy engineering org, while recent hiring across director, senior, and manager levels in sales, finance, and communications signals a shift from product-first to go-to-market maturity. Active projects around multi-year SaaS contracting and workflow adoption show the company moving from early wins toward enterprise sales and operational scaling.
Notable leadership hires: Account Director, Communications Director
Aidoc builds clinical AI software for hospitals and health systems, focusing on medical imaging analysis and care team coordination. The platform uses proprietary aiOS™ technology to process imaging and clinical data, enabling radiologists, cardiologists, neurologists, and surgeons to act on critical information in real time. Founded in 2016 and headquartered in New York with 201–500 employees, Aidoc operates across the United States, Israel, and Germany. Current priorities include scaling multi-year SaaS contracts, improving adoption of AI imaging workflows, and establishing executive presence in a competitive healthcare AI market.
Aidoc uses Python, Go, Node.js, and Java for backend services; TensorFlow and PyTorch for ML model work; AWS and Azure for cloud infrastructure; Kubernetes and Terraform for deployment; and GitLab for version control.
Aidoc is headquartered in New York, NY and actively hires in the United States, Israel, and Germany.
Aidoc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.