Qualified Health has successfully closed a $125 million Series B funding round, signaling a significant shift in how hospitals approach artificial intelligence integration. Led by New Enterprise Associates, the round highlights a growing demand for internal governance over AI deployment. Many health systems previously felt sidelined by third-party vendors, losing control over their long-term technology strategies and data sovereignty.

The startup was founded by Justin Norden, a computer scientist and physician who recognized a critical gap in the market during the 2023 surge of generative AI. Rather than offering a pre-packaged chatbot or diagnostic tool, Qualified provides the underlying framework. This allows hospitals to develop proprietary solutions tailored to their specific clinical workflows while maintaining oversight of the underlying models.

This platform-first approach has already attracted major clients such as Mercy and Emory Healthcare. By moving away from "black-box" third-party solutions, these institutions can ensure that AI tools are deeply integrated into their existing electronic health record systems. The investment also includes participation from the Anthology Fund, reflecting a strategic alignment between foundational model providers and sector-specific deployment platforms.

Qualified Health has successfully closed a $125 million Series B funding round, signaling a significant shift in how hospitals approach artificial intelligence integration. Led by New Enterprise Associates, the round highlights a growing demand for internal governance over AI deployment. Many health systems previously felt sidelined by third-party vendors, losing control over their long-term technology strategies and data sovereignty.

The startup was founded by Justin Norden, a computer scientist and physician who recognized a critical gap in the market during the 2023 surge of generative AI. Rather than offering a pre-packaged chatbot or diagnostic tool, Qualified provides the underlying framework. This allows hospitals to develop proprietary solutions tailored to their specific clinical workflows while maintaining oversight of the underlying models.

This platform-first approach has already attracted major clients such as Mercy and Emory Healthcare. By moving away from "black-box" third-party solutions, these institutions can ensure that AI tools are deeply integrated into their existing electronic health record systems. The investment also includes participation from the Anthology Fund, reflecting a strategic alignment between foundational model providers and sector-specific deployment platforms.