What is Rad AI?
Rad AI utilizes advanced machine learning algorithms to revolutionize the field of radiology. Developed by radiologists, the platform is engineered to streamline existing workflows and automate repetitive manual tasks, thereby increasing radiologist productivity and mitigating burnout. Rad AI's solutions provide comprehensive radiology reports for ordering clinicians and aim to enhance diagnostic accuracy for patients. The company is headquartered in San Francisco, California, and is positioned at the forefront of AI-driven innovation in medical imaging.
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
Series C (2025): $68M featuring Transformation Capital, Memorial Hermann Health System, Corewell Health, and Advocate Health Care
Key Investors in Rad AI
Khosla Ventures
Khosla Ventures is a prominent venture capital firm known for its investments in technology and healthcare innovation.
World Innovation Lab
World Innovation Lab is a company operating in the Advertising & Marketing industry, headquartered in Japan, with revenues between 5M to 10M.
ARTIS Ventures
Artis Ventures is a venture capital fund specializing in Tech Bio+Health, focusing on data-driven life sciences companies that enhance human health and wellness through AI and engineering.
What's next for Rad AI?
With the recent influx of $68M in major strategic investment, Rad AI is poised for accelerated expansion and further development of its AI-powered radiology solutions. This enterprise-level funding, contributing to a total of $118.5M, will likely fuel advancements in product innovation, market penetration, and strategic partnerships within the healthcare ecosystem. The company's focus on reducing radiologist burnout and improving diagnostic accuracy suggests a continued emphasis on enhancing clinical efficiency and patient outcomes through cutting-edge technology.
See full Rad AI company page
