Nabla Secures $70M Series C to Enhance Clinical AI
Nabla has raised $70 million in Series C funding, bringing its total funding to $120 million, announced in a press release. The funding round was led by HV Capital, with participation from Highland Europe, DST Global, and existing investors Cathay Innovation and Tony Fadell's Build Collective.
The new capital will accelerate the development of Nabla's AI assistant, which is designed to optimize clinical and financial workflows in healthcare settings. Nabla's AI is currently used by over 130 healthcare organizations and 85,000 clinicians, supporting a wide range of clinical roles and delivering measurable ROI across workflows.
Nabla plans to expand its AI assistant's capabilities to include coding, agentic EHR commands, and support for diverse clinical roles. The platform integrates with major EHR systems and is available in 35 languages, aiming to enhance efficiency and reduce clinician burnout by cutting documentation time significantly.
The company is also focusing on building a comprehensive Adaptive Agentic Platform, which will include features like a Proactive Coding Agent and a Context-Aware Agent to improve real-time support and documentation processes. Nabla's growth strategy includes expanding into new care settings and forming strategic partnerships to deliver impact on a national scale.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like AI Funding Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from: Funding
More from: Life Sciences
Subscribe to AI Funding Brief
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more