Entrepreneur, CEO, And Co-Founder of Hippocratic AI

Munjal Shah

Entrepreneur, CEO, And Co-Founder of Hippocratic AI

By The Numbers

25+

Years in AI

Munjal was involved in AI “before it was cool,” researching neural networks as a UCSD undergraduate.

19

Patents

Focusing on health-related computing systems that optimize healthcare services through predictive algorithms and dynamic user interactions.

4

Companies co-founded and led

Munjal has co-founded and led 4 companies, 3 involving AI, in the e-commerce, health insurance and healthcare industries.

ABOUT Munjal

Munjal Shah is the co-founder and CEO of Hippocratic AI,

A generative artificial intelligence startup focused on building foundation models for health care and using it to improve patient outcomes, lower health care costs, and address the growing shortage of health care workers worldwide.

Founded by generative AI researchers, hospital administrators, physicians, and Medicare experts, Hippocratic AI has developed a safety-focused large language model to provide nondiagnostic health care services. Its large language model outperformed Open AI’s GPT-4 on 105 of 114 health care exams and certifications. Hippocratic AI has received a total of $120M in funding and is backed by leading investors, including General Catalyst, Andreessen Horowitz, Premji Invest, and SV Angel.

VIdeos

The Cure(ious)TM

Munjal Shah, Co-Founder and CEO of Hippocratic AI, was recently featured in “The Cure(ious)” series by the New York Stock Exchange (NYSE). This series invites

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Guest Speaking at CES

I was recently a guest speaker at CES, where we delved into a range of compelling topics. The discussion highlighted the critical role of empathy

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Latest News

Why Advocate Health called 15,000 patients in 12 days with AI

Advocate Health used conversational AI from Hippocratic AI to call more than 15,000 hypertension patients who had not recently checked their blood pressure. During the 12-day effort, the AI guided patients to take readings at home, identified about 1,200 with normal levels, and escalated hundreds of others to human nurses when readings were high or […]

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