Top 794 Health Care Software SaaS Companies in July 2026

Palo Alto, California, United States

Value-based retinal screening in primary care to prevent blindness.

New Delhi, Delhi, India

ETHER is a Hospital Management Software (HMS/HIS) system completely SaaS-based and developed by Tenwave. A Multipurpose Healthcare Solution, to improve the quality of patient care, enhance hospital efficiency, and reduce healthcare costs.

United States

Proactive primary care, scaled with AI

New York, New York, United States

Software platform for in-home healthcare

San Francisco, California, United States

Open-Source Universal API for Healthcare Data

London, England, United Kingdom

Messly is a SaaS, Professional Network that helps doctors find their next role in healthcare.

Atlanta, Georgia, United States

A physician-founded and physician-run clinical diagnosis improvement company that uses data analytics combined with gold standard chart reviews

Seoul, South Korea

Mediwhale is an AI-empowered health diagnostics company that uses non-invasive retina scans to help prevent heart and kidney diseases. They develop AI medical devices that analyze retinal images to predict cardiovascular, kidney, and eye disease risks early.

Washington, District of Columbia, United States

Developer of healthcare technology designed to measure SDOH (Social Determinants of Health) in patients. The company's platform a secure, cloud-based platform that manages data fusion, analytics and visualizations of community and individual SDOH risk, allowing organizations to prioritize and match targeted social interventions to the specific needs of socially and clinically complex patients.

Escondido, California, United States

Sidis Health is an Enterprise SaaS 2.0+AI cloud platform that enables autism service companies to scale using enterprise process automation and workflow management enabled by artificial intelligence and complete clinical and operational integration. This allows the organization to rapidly grow revenue-generating locations and services while significantly reducing the related operational costs and increasing cash flow velocity on claims. The organization shifts from supporting all services manually using software to monitoring the software for exceptions and targeting resources at those areas until the AI learns how to continue automated handling of those exceptions. Care quality is able to be tracked at the metadata level by fully integrating each organization's unique curriculum and treatment plans into Sidis Health, vastly increasing transparency into treatment progress and the ability to continue receiving re-authorizations from insurance payers and utilizing the data collected t