Layer Health

🔥 Wrapping up this week’s #STEMSpotlights highlights Dr. David Sontag, Massachusetts Institute of Technology Professor and Co-Founder of the healthcare AI startup Layer Health. With deep expertise in machine learning and healthcare, Dr. Sontag is bridging artificial intelligence and medicine to solve real-world clinical challenges. At Layer Health, spun directly from MIT’s innovative ecosystem, he leads a team using large language models (LLMs) to transform unstructured patient records into actionable clinical insights—helping doctors make quicker, better-informed decisions right at the point of care. Just last week, Layer Health secured an impressive $21 million Series A funding round, backed by top-tier investors including GV (Google Ventures) and General Catalyst. The company is already partnering with prominent organizations such as the American Cancer Society, positioning itself to significantly enhance healthcare efficiency and patient outcomes. With powerful academic credentials from MIT and extensive industry recognition, Dr. Sontag demonstrates the incredible potential of AI when guided by rigorous research and clear clinical impact. 🚀 Stay tuned for more inspiring #STEMSpotlights every week! #deeplearning #MIT #cancer

This is why I am so humbled to lead Layer Health as CEO in this next stage of our journey, as today we announce our $21 million Series A: 1. Our people. The Layer Health team is kind, incredibly smart, and cares deeply about the long-term positive impact we can have on the world. 2. Our partners. Our partners and investors are all in with us, creating an atmosphere of rich collaboration and shared learning. 3. Our shared dream. I know, and you know, health care can be so much better. I am absolutely convinced that what we are building will be transformative. Thank you to everyone who has supported us on this journey so far. You know who you are. Join us: https://lnkd.in/eXNYyqSy Forbes coverage: https://lnkd.in/eZNE9RMA Define Ventures blog: https://lnkd.in/exFuZbXC Flare Capital Partners blog: https://lnkd.in/eeyR9q4f

97% of clinical data goes unused. That’s 50 million gigabytes a year — locked away in EMRs, buried in notes, lost to complexity. To extract insights, health systems today rely on teams of clinicians manually reviewing charts. It’s slow, costly, and inconsistent. Layer Health is changing that. Their AI platform reads and interprets medical records with clinician-level understanding — and does it in hours, not months. This is what clinical inference at scale looks like. Most healthcare AI tools focus on narrow use cases, but Layer is different. They're enabling health systems to extract meaningful insights from messy, unstructured medical data with clinician-level accuracy. It’s a platform that makes clinical data understandable — and actionable. We’re thrilled to lead their $21M Series A and support them as they build the foundation for smarter, faster, more efficient healthcare. https://lnkd.in/g_hT7mtT

Today, we’re excited to announce our investment in Layer Health, a company that is leveraging breakthroughs in artificial intelligence (AI) to unify clinical data and transform chart review activities, starting with clinical registries. For decades, we’ve invested hundreds of billions of dollars in a disparate meshwork of technologies to improve how this data is structured and used to inform contingent activities. The vision has always been to unify raw care data with its clinical and financial outcomes, so that we can map treatment decisions to their real-world impact, in real time. This vision had been an elusive one until we met the Layer Health team last year. Behind this technology is a group of world-class AI researchers and clinicians from MIT, Harvard, and leading technology organizations such as Microsoft, Google and Flatiron. Co-Founder & CEO David Sontag, Ph.D., is a recognized expert in healthcare machine learning who has built a team that combines deep engineering expertise with real-world clinical and product experience: Steven Horng, MD, MMSc, FACEP, Monica Agrawal, Alastair Blake MD, Luke Murray and Divya Gopinath. 💫 Read more on "Why We Invested" here: https://lnkd.in/erjAiepq 📰 Original announcement here: https://lnkd.in/eJuVCmhu 📰 Forbes coverage here: https://lnkd.in/enFjUc29

Today we announce our $21M Series A that will accelerate our mission to build AI that understands patients' medical records so as to radically improve healthcare efficiency and patient outcomes. We’re incredibly grateful to our investors — Define Ventures, Flare Capital Partners, GV (Google Ventures), MultiCare Capital Partners, General Catalyst, and Inception Health — for their support and shared belief in our vision. A heartfelt thank you to our early customers and partners for their collaboration, and to our amazing team and advisers whose hard work and dedication have made this milestone possible. We’re just getting started—and the future of AI-powered healthcare is only beginning to take shape. Read more about our journey in Forbes. https://lnkd.in/enFjUc29

We're very excited to announce that Layer Health has partnered with the American Cancer Society to accelerate data abstraction for cancer research. Under this multi year collaboration - our AI-powered technology will empower the American Cancer Society to extract critical clinical data from thousands of medical charts with unprecedented speed, reliability, and accuracy. We're proud to put our medical chart review platform to work in the fight against cancer and committed to furthering the American Cancer Society's mission with our physician-level AI reasoning capabilities.

Thrilled to see Layer Health featured in Bobby Samuels' article "Mapping the Future of Healthcare AI"! Being recognized as essential AI Infrastructure validates our mission to revolutionize medical chart review. At Layer Health, we've built an enterprise LLM platform that delivers physician-level reasoning without the friction of traditional methods. Our AI layer powers chart review that's not just faster, but genuinely trustworthy—helping health systems and life science organizations unlock valuable insights that improve patient care.

Consider joining this virtual panel featuring our CEO, David Sontag, on healthcare AI!

Great article by Spencer Dorn in Forbes about AI summarization in healthcare, which also talks about Layer Health's unique perspective, where we're focusing initially on settings where there are a set of pre-determined questions that need to be answered by the summary. This perspective allows us to do rigorous validation and monitoring. https://lnkd.in/eTzsMEkx

Meet Christopher Reeder, a machine learning scientist at Layer Health! Before joining Layer Health, Chris honed his expertise as an ML scientist and engineer at the Broad Institute, Kyruus Health, and Amazon. Now, he's leveraging cutting-edge machine learning to develop new methods for parsing and understanding clinical information—helping transform complex healthcare data into actionable insights. What drew Chris to Layer Health? In his words: “There’s a perfect balance of ambition and humanity. While the company's technical excellence and visionary goals initially caught my attention, it was the culture of genuine curiosity and collaboration that convinced me to join.” Chris is particularly excited about the rapid advancements in AI and their impact on healthcare: “Today's models demonstrate sophisticated reasoning and nuanced understanding that was unimaginable even months ago. What excites me most is how these advances are transforming abstract possibilities into tangible solutions, bringing us closer to revolutionary breakthroughs in disease treatment and healthcare efficiency.” A favorite part of his experience at Layer so far? Our Friday TGIF meetings: “Rather than feeling like another obligation, these gatherings are a chance to connect with talented colleagues I genuinely enjoy. It’s refreshing to work somewhere where end-of-week reflection and team connection feels natural and energizing.” We’re thrilled to have Chris on the team, pushing the boundaries of AI in healthcare! 🚀💡