Aidoc, the leading clinical AI platform with the highest number of FDA-cleared solutions in its category, today announced a $150 million financing round to accelerate the development of CARE™, the company’s clinical-grade foundation model that assists physicians in clinical decisions. The round was led by General Catalyst and Square Peg, with participation from NVentures (NVIDIA’s venture capital arm) and four major U.S. health systems, including Hartford HealthCare, Mercy, Sutter Health and WellSpan Health. This round also includes a $40 million revolving credit facility, bringing the company’s total funding to $370 million. The investment builds on a wave of momentum: two CARE-powered solutions have earned FDA clearance, and new enterprise-wide rollouts were announced in the past month at Advocate Health and Sutter Health.
Aidoc currently supports care for more than 45 million patients annually across 150+ health systems, growing to 100 million in three years. Leading health system partners also include Mount Sinai Health System, Yale New Haven Health System, Northwell Health, University of Miami Health System and Temple Health.
“Our mission is to reduce diagnostic errors and improve patient outcomes,” said Elad Walach, Chief Executive Officer of Aidoc. “CARE compresses decades of roadmap into years,bringing forward a future where AI supports every patient encounter, helping physicians provide the care they believe their patients deserve.”
The funding will also support the expansion of aiOS™, Aidoc’s enterprise-grade platform for deploying and governing clinical AI at scale. With a growing focus on enabling an open ecosystem, the investment will accelerate efforts to support seamless integration of both Aidoc and third-party AI solutions.
“At Hartford HealthCare, we have seen the significant impact that AI has had on outcomes, and we believe the future of healthcare must be grounded in trust, innovation and compassion. Our Center for AI Innovation in Healthcare and our collaboration with Aidoc reflect our commitment to advancing AI in a safe, scalable and thoughtful way, supporting clinicians and improving care for those we serve,” said Jeffrey A. Flaks, President and Chief Executive Officer of Hartford HealthCare.
Clinical AI: Infrastructure for Modern Care
Healthcare faces a perfect storm: 371,000 annual deaths from diagnostic errors, a growing physician shortage and an ever-expanding body of clinical knowledge that sets ever-evolving standards no health system can realistically meet.
Clinical AI addresses this by improving clinical decision-making at the point of care. It flags suspected high-risk findings, automates follow-ups and gets patients to the right care faster, supporting real-time, high-stakes decisions. The promise of AI for efficiency is real, yet clinical AI goes further. It drives better outcomes, alleviates cognitive overload and helps reduce clinician burnout.
“Aidoc is an important partner as we seek to fulfill our system-wide commitments to improve patient outcomes, enable our healthcare workers to be at their best and stay at the forefront of tech-powered healthcare transformation,” said Roxanna Gapstur, PhD, RN, President and Chief Executive of WellSpan Health. “In one year, Aidoc has helped our radiologists to analyze more than 200,000 cases, making efficient the work of scanning what can sometimes be thousands of images per case, leading to a significant reduction of critical diagnosis delays.”
CARE: Rewriting the Rules of Clinical AI
CARE, a clinical-grade foundation model trained on multimodal data, already powers FDA-cleared applications and enables development of new indications up to 20x faster. With unmatched clinical accuracy, all Aidoc models will transition to CARE. Within three years, CARE is expected to massively expand and cover 90% of clinically relevant diseases, including cancer and cardiovascular conditions.
“Model accuracy is paramount when touching the core of a physician’s work,” said Michael Braginsky, Co-founder and Chief Technology Officer of Aidoc. “Foundation models will soon be as ubiquitous in healthcare as ChatGPT is in general use. Scaling clinical AI is an enormous lift – it requires top-tier talent, powerful infrastructure, deep real-world insight and sustained funding. Success isn’t guaranteed, but we believe we’re in a unique position to bring this vision to life, and we feel a deep responsibility to do so.”
Through strategic initiatives with NVIDIA and AWS, Aidoc will invest over $150 million in the coming years to bring CARE to market, combining high-performance compute and AI development platforms to redefine model performance, efficiency and real-time inference.
aiOS: The Catalyst for a Clinical AI Ecosystem
As clinical AI scale grows exponentially, Aidoc is doubling down on aiOS, an enterprise operating system built to run clinical AI. It enables health systems to deploy and govern multiple AI solutions responsibly, with real-time performance monitoring, seamless integrations and, most critically, outcome measurement. Supporting both Aidoc and third-party models, aiOS is a true platform for system-wide governance.
“We’re not doing this alone,” said Walach. “aiOS is an ecosystem-driven platform, built to host both Aidoc and external solutions. Today, 69% of our customers are running non-Aidoc models on aiOS, and we’re committed to growing that ecosystem, ensuring each solution we onboard will lead to significant clinical impact.”
With this latest investment, Aidoc is ushering in a new era for clinical AI, one where foundational models, enterprise-grade infrastructure, and an open ecosystem converge to deliver measurable impact at scale. As CARE and aiOS continue to gain traction across leading health systems, Aidoc is setting a new standard for how clinical AI can safely and effectively support clinicians, improve outcomes and transform the delivery of care for millions of patients.
