In a significant milestone for healthcare technology, Layer Health has raised $21 million in Series A funding to further develop its AI-driven chart review platform. The investment round was led by Define Ventures, with strategic participation from Google Ventures (GV), Flare Capital Partners, and MultiCare Capital Partners.

Emerging from the prestigious MIT ecosystem, Layer Health has developed a sophisticated AI platform that utilizes large language models (LLMs) to extract and analyze unstructured medical data. The company's technology stands out for its ability to perform complex chart abstraction, supporting major medical registries including cardiovascular, oncology, and national surgery registries.

Key capabilities of the platform include:
• Seamless integration with existing healthcare systems
• Comprehensive data abstraction without requiring labeled data
• Support for quality measurement and real-world evidence curation
• Enhanced revenue cycle management
• Efficient registry submissions

The company's potential was underscored by a recent collaboration with the American Cancer Society, which will use Layer Health's platform to extract clinical data from thousands of research study medical charts. This partnership highlights the transformative potential of AI in medical research and data management.

David Sontag, CEO and cofounder of Layer Health, emphasized the strategic importance of the funding: "Our Series A marks a major milestone in Layer Health's mission to bring AI-powered clinical understanding to the heart of healthcare operations. The complexity of managing clinical data across fragmented systems is one of the biggest barriers to scalable, high-quality care—especially in value-based environments. This funding allows us to accelerate our work with health systems and life sciences organizations to solve that problem at scale."

The investment builds on the company's initial $4 million funding from GV, General Catalyst, and Inception Health when it launched in 2023. With this new capital, Layer Health plans to scale its AI platform and expand its workforce, positioning itself as a key innovator in healthcare data technology.

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