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
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.
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
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
Nvidia has steadily expanded its influence across the AI sector through a series of strategic investments between 2023 and 2024, reinforcing its role as both
Nvidia has significantly expanded its role in the global AI ecosystem by pairing its dominance in GPUs with an aggressive investment strategy, closing at least 67 AI-related startup deals in 2025. Backed by surging revenue and a market capitalisation of roughly $4.6 trillion, the company has deployed capital across foundation models, infrastructure, robotics, and healthcare. […]
Nvidia has built one of the most influential corporate investment portfolios in the AI industry, using its rapid financial growth to support startups across the entire technology stack. As part of this strategy, Nvidia has backed Hippocratic AI, including participation in its $141 million Series B round, signaling strong confidence in healthcare-focused large language models. […]