
Commure, a Mountain View, CA-based AI platform for healthcare, has raised $70 million in financing at a $7 billion valuation.
Investors
The round was led by General Catalyst, with participation from Sequoia Capital, Morgan Stanley, and Kirkland & Ellis.
General Catalyst is a global investment and transformation company that partners with ambitious entrepreneurs to drive resilience and applied AI. The firm works with founders from Seed through growth stages to build enduring companies. Headquartered in Cambridge, Massachusetts, with major hubs in San Francisco, New York, London, Berlin, and Bangalore, the firm manages over $40 billion in assets and has backed more than 1,000 businesses globally.
Commure Use of Funds
The company will use the funding to scale its revenue cycle management and practice management platform, advance its agentic AI infrastructure for healthcare workflows, and expand operations into global healthcare markets.
About Commure
Led by CEO Hemant Taneja, Commure is an AI platform for healthcare operations that automates administrative, clinical, and revenue cycle workflows for hospitals and medical practices. Its platform includes revenue cycle management, ambient clinical AI, autonomous coding, clinical intelligence, and practice management solutions. The company deploys AI agents and automation tools across more than 500 healthcare organizations and 3,000 care sites, supporting tens of thousands of physicians nationwide. Commure's Ambient AI suite, featuring Autonomous Coding and Clinical Intelligence, supports tens of millions of appointments each year.
Funding Details
Company: Commure
Raised: $70.0M
Round: Growth Financing
Funding Date: May 2026
Lead Investor: General Catalyst
Additional Investors: Sequoia Capital, Morgan Stanley, Kirkland & Ellis
Company Website: https://www.commure.com/
Software Category: HealthTech / AI Healthcare Operations / Revenue Cycle Management
Source: https://www.globenewswire.com/news-release/2026/05/19/3297624/0/en/commure-raises-70m-at-7b-valuation-to-transform-healthcare-operations-using-ai.html