Hippocratic AI, a healthcare AI startup specializing in safety-focused large language models (LLMs) for non-diagnostic, patient-facing clinical tasks, has completed a $141 million Series B funding round. Led by Kleiner Perkins, a venture capital firm renowned for backing tech giants like Google and Amazon, the round brought the company’s valuation to $1.64 billion. Existing investors, including A16z, General Catalyst, Premji, NVIDIA, and Universal Health Services, also participated at or above pro-rata. This latest funding comes just nine months after the company’s Series A round, underscoring its rapid growth and strong investor confidence.
Co-founded by CEO Munjal Shah and a team of healthcare and AI experts from institutions like Johns Hopkins, Stanford, and Google, Hippocratic AI aims to revolutionize healthcare accessibility and outcomes worldwide. Its safety-focused LLM leverages advanced AI to provide scalable healthcare expertise, addressing challenges such as workforce shortages and improving patient care. With a total of $278 million in funding to date, the company is positioned to expand its global impact and continue pioneering innovative solutions in the healthcare sector.