Loading organizations...
§ Private Profile · Brookline, MA, USA
Layer Health is a technology company.
Layer Health develops an AI platform for medical chart review, leveraging a proprietary large language model to extract precise, physician-level insights from longitudinal patient records. This technology supports automated clinical registries, custom quality measurement, and intelligent clinical pathways. It delivers highly accurate, configurable data extraction, streamlining complex data analysis for healthcare organizations and optimizing clinical workflows.
Co-founded by David Sontag, Monica Agrawal, Luke Murray, Steven Horng, and Divya Gopinath, Layer Health emerged from MIT. David Sontag, an MIT professor and recognized AI in healthcare expert, spearheaded the venture. The founders identified critical inefficiencies inherent in manual chart abstraction, inspiring their creation of a robust, scalable AI solution to address this significant operational bottleneck in healthcare.
Healthcare systems employ Layer Health's platform to enhance data collection and analysis from patient charts. It automates labor-intensive processes like national surgical registry reporting by intelligently processing vast clinical information. Layer Health envisions establishing a frictionless, scalable, and trustworthy standard for medical chart review, ultimately improving data utility and advancing patient care quality across the industry.
Layer Health has raised $25.0M across 2 funding rounds.
Layer Health has raised $25.0M in total across 2 funding rounds.
Layer Health has raised $25.0M in total across 2 funding rounds.
Layer Health's investors include Define Ventures, Flare Capital Partners, Anthony Philippakis, GV, Highbury Group.
Layer Health has raised $25.0M across 2 funding rounds. Most recently, it raised $21.0M Series A in March 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2025 | $21M Series A | Define Ventures | Flare Capital Partners, Anthony Philippakis, GV, Highbury Group | Announced |
| Nov 1, 2023 | $4M Seed | — | Define Ventures, Flare Capital Partners, GV | Announced |
Layer Health is a healthcare technology company that builds an advanced AI platform leveraging large language models (LLMs) to transform medical chart review. Its flagship product, Distill, uses artificial intelligence to rapidly and accurately extract clinical, administrative, and research insights from both structured and unstructured patient data, such as clinical notes, at scale. This platform serves health systems, life science companies, and clinical researchers by automating complex chart review tasks that traditionally require extensive manual effort, enabling more efficient, personalized care and operational improvements. Layer Health’s AI achieves clinician-level accuracy without relying on labeled data, significantly reducing development time and costs while integrating seamlessly into existing healthcare workflows[1][2][3][5].
Layer Health spun out of MIT in 2021, emerging from a project focused on AI support for clinical documentation. The company was founded by a team of AI and clinical experts from prestigious institutions including MIT, Harvard, Microsoft, and Google. Key founders include David Sontag, an MIT professor with extensive research in AI and healthcare, Monica Agrawal, a pioneer in large language models, and Steven Horng, a Harvard emergency physician and clinical informatician. Their combined expertise and nearly a decade of collaboration laid the foundation for Layer Health’s mission to solve the persistent information problem in healthcare by leveraging cutting-edge AI. Early traction included successful deployments with healthcare partners like Froedtert & the Medical College of Wisconsin, demonstrating significant time savings and accuracy improvements in chart review[1][2][3][4].
Layer Health rides the wave of digital transformation in healthcare, addressing the critical challenge of extracting actionable insights from fragmented and complex electronic health records (EHRs). The timing is crucial as healthcare systems increasingly adopt AI to improve care delivery, reduce costs, and meet regulatory demands for quality and reporting. By enabling scalable, accurate chart review, Layer Health empowers providers and researchers to unlock value from vast amounts of clinical data that were previously underutilized. This foundational capability supports broader trends toward personalized medicine, real-world evidence generation, and AI-driven healthcare operations, positioning Layer Health as a key enabler in the evolving healthcare AI ecosystem[2][3][5].
Looking ahead, Layer Health is poised to expand its impact by broadening the adoption of its AI platform across more healthcare organizations and research partners. As healthcare data continues to grow in volume and complexity, the demand for scalable, trustworthy AI solutions like Layer Health’s will intensify. Future trends shaping their journey include increased regulatory focus on data quality, the rise of real-world evidence in drug development, and ongoing advances in large language models tailored for clinical use. Layer Health’s commitment to clinical validation and AI safety will be critical as it scales, potentially evolving into a foundational infrastructure layer for healthcare data intelligence. Their trajectory suggests a growing influence in transforming how clinical data is understood and utilized to improve patient outcomes and operational efficiency[2][3][6].