New York-based health tech company Nabla has raised US$70 million in a series C funding round.

The round was led by HV Capital and Highland Europe, with participation from DST Global, Cathay Innovation, and Build Collective.

This brings Nabla’s total funding to US$120 million.

The funds will be used to develop its AI technology, grow its team, and form new healthcare partnerships.

Nabla’s AI assistant is used by over 130 healthcare organizations, including CVS Health and Children’s Hospital Los Angeles.

It supports 85,000+ clinicians and handles around 20 million clinical encounters annually.

🔗 Source: Nabla

🧠 Food for thought

1️⃣ Healthcare’s ambient AI market is entering rapid consolidation phase

Nabla’s $70 million Series C represents a broader pattern of accelerated funding in the clinical AI documentation space, with the company’s growth metrics demonstrating strong market validation.

The company reports a 5x revenue increase in just six months while supporting 85,000 clinicians across 130+ healthcare organizations, signaling that this category is reaching mainstream adoption 1.

This investment follows a wave of substantial funding rounds for competitors in the ambient AI healthcare space, highlighting a competitive race to capture market share as health systems increasingly prioritize AI-powered documentation solutions 1.

The rapid market consolidation reflects growing evidence of AI’s effectiveness in clinical settings, with peer-reviewed studies from University of Iowa Health Care showing significant reductions in clinician burnout and a 15-point increase in patient satisfaction when using these tools 2.

2️⃣ Documentation provides beachhead for broader AI transformation in healthcare

Nabla’s evolution from pure documentation to more agentic AI capabilities illustrates how clinical documentation serves as an entry point for deeper healthcare workflow transformation.

The company’s roadmap shows a clear progression: starting with ambient documentation, then expanding to real-time coding support, and now moving toward EHR command execution and workflow automation—a pattern that establishes trust before expanding scope 2.