WHAT IS HIPPOCRATIC AI REALLY BUILDING?
In this candid interview, Munjal Shah shares the mission behind Hippocratic AI — a company focused on building the world’s first safety-focused large language model for healthcare. With deep experience as a serial entrepreneur, Shah breaks down the vision, challenges, and responsibilities of applying generative AI to high-stakes medical environments.
Featuring Munjal Shah, CEO of Hippocratic AI
In this interview, Munjal Shah explains how Hippocratic AI is building a safety-first language model for healthcare — and why patient trust must come before scale.
Key Takeaways
- Hippocratic AI is focused on safety-first generative AI for healthcare
- The company is developing a specialized LLM — not general purpose
- Shah emphasizes both internal safeguards and external validation
- Trust, testing, and patient outcomes drive every product decision
- This is Shah’s fourth startup — and the one with the highest stakes
Full Transcript
[Music] rem scene 105 camera a mark thank you so much for doing this um we're very excited to learn a little more about hypocratic AI can you tell us
a little more about yourself and what the company does yeah I'm Mel Shaw i'm the co-founder and CEO of Hypocratic AI and um I'm a serial entrepreneur this is
actually my fourth company that I built and run um this is kind of what I do it's what I love to do it's what I'm built to do and
the company itself today is focused on building a large language model for healthcare when you think of AI and you know you think of LLMs how do you tie
those back to ensuring that the product is safe and the product is doing exactly what it's supposed to do without going on a tangent or doing something errant yeah
i mean I think there's a inside out and an outside in approach so a lot of people have been talking about prompt engineering and evals and I think there's more
we can do there but I think also on the outside in it's how we test the product it's how we safety test the product it's how we evaluate the
product in novel ways to make sure it's behaving the way it's supposed to I think a lot of what we're doing is building a lot of those tools as
well as the core model itself so that's our kind of thesis is both layers of safety not just the core model layer but the meta layer around it how
do we instruction tune it how do we test it how do we eval it how do we know it hasn't regressed when we update it and then the final
piece is how do we deploy it in a way that there's a human in the loop there's a safety net there's a safety guard in that actual deployment and use
case as well so it's kind of like safety throughout the pipeline
Munjal Shah
Munjal Shah is the CEO and Co-founder of Hippocratic AI. He is leading the development of safe, generative AI agents designed to support clinicians and expand access to care for millions of patients with chronic conditions.
Frequently Asked Questions
What is “Super Staffing”?
It’s the idea that AI healthcare agents can scale the presence of trained support staff, enabling 10x care without 10x headcount. AI becomes a multiplier, not just an assistant.
Can language models really replace nurses or counselors?
Not replace — but augment. AI can handle repetitive, rules-based tasks and deliver information at scale. The human element is still critical for judgment, empathy, and nuance.
How does Hippocratic AI ensure these agents are safe to use?
Each model is reviewed and validated by real professionals — like 1,000 genetic counselors — before going live. Safety, auditability, and expert confidence are non-negotiable.
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