What is Rad AI?
Rad AI operates at the intersection of artificial intelligence and clinical diagnostics, providing a sophisticated platform designed by radiologists for radiologists. The company's core value proposition lies in its ability to automate repetitive manual tasks, thereby streamlining existing radiology workflows and enhancing daily productivity. By generating high-accuracy reports for ordering clinicians, Rad AI not only improves operational efficiency but also elevates the standard of patient care. As the healthcare industry faces increasing pressure to manage high volumes of diagnostic imaging, Rad AI serves as a critical infrastructure partner for health systems seeking to optimize their radiology departments through data-driven automation.
How much funding has Rad AI raised?
Rad AI has raised a total of $118.5M across 4 funding rounds:
Debt
$150K
Debt
$325K
Series B
$50M
Series C
$68M
Debt (2020): $150K with participation from PPP
Debt (2021): $325K led by PPP
Series B (2024): $50M supported by Khosla Ventures, World Innovation Lab, and Artis Ventures Management Iii
Series C (2025): $68M featuring Corewell Health, Memorial Hermann Health System, Transformation Capital, and Advocate Health Care
Key Investors in Rad AI
Corewell Health
Corewell Health is a not-for-profit integrated health system and the largest healthcare provider in Michigan, delivering comprehensive care across a vast network of hospitals and outpatient locations.
Transformation Capital
Transformation Capital is a Boston-based growth equity firm that specializes exclusively in backing innovative healthcare IT and services companies.
Advocate Health Care
Advocate Health Care is a prominent Midwest health system and a national leader in population health management and accountable care organization operations.
What's next for Rad AI?
With this major enterprise-level funding, Rad AI is poised to scale its operations and deepen its integration within large-scale health systems. The strategic focus will likely shift toward expanding its product suite and enhancing the predictive capabilities of its machine learning models. By partnering with major health networks, the company is set to solidify its market position as a leader in AI-enabled healthcare solutions. Future growth will be defined by the firm's ability to maintain its high-accuracy standards while scaling its footprint across diverse clinical environments, ultimately aiming to redefine the standard of care in radiology through continuous innovation and technological advancement.
See full Rad AI company page
