Uploaded February 2026 | Updated September 2026, 2 weeks ago
At Davos 2026, Co-Founder and CEO of Hippocratic.AI Munjal Shah joins Yuval Dvir, Senior Advisor at SandboxAQ, for a deep discussion on what it really takes to deploy AI safely and effectively in healthcare.
Munjal is a serial entrepreneur whose career spans Stanford, Google, Alibaba, and multiple successful startups. After a personal health crisis, he shifted his focus to healthcare—founding Hippocratic.AI—to tackle one of the industry’s hardest problems: reliable patient care at scale.
In this conversation, they explore:
- Why large language models alone are not safe enough for healthcare
- The “jagged intelligence” problem and real-world hallucination rates
- Why LLMs can hallucinate 23% of the time in tasks like scheduling
- How Hippocratic.AI's constellation architecture reduces hallucinations to below 1%
- Why chronic care management, not diagnosis, is healthcare’s biggest bottleneck
- How AI creates abundance: continuous, multilingual patient support at global scale
Rather than replacing clinicians, Munjal argues that AI’s real power lies in expanding care that makes follow-ups, medication adherence, and patient education reliable, proactive, and accessible.
Check out our Voices of Davos playlist for more exclusive interviews like this! youtube.com/playlist?list=PLMsyYLfyvI2H0E5dNwlP0qoI4s8Z8gdMK
Subscribe to stay updated on the latest breakthroughs in AI and quantum technology. Learn more about SandboxAQ’s innovative solutions at: sandboxaq.com
#sandboxaq #lqms
At Davos 2026, Co-Founder and CEO of Hippocratic.AI Munjal Shah joins Yuval Dvir, Senior Advisor at SandboxAQ, for a deep discussion on what it really takes to deploy AI safely and effectively in healthcare.
Munjal is a serial entrepreneur whose career spans Stanford, Google, Alibaba, and multiple successful startups. After a personal health crisis, he shifted his focus to healthcare—founding Hippocratic.AI—to tackle one of the industry’s hardest problems: reliable patient care at scale.
In this conversation, they explore:
- Why large language models alone are not safe enough for healthcare
- The “jagged intelligence” problem and real-world hallucination rates
- Why LLMs can hallucinate 23% of the time in tasks like scheduling
- How Hippocratic.AI's constellation architecture reduces hallucinations to below 1%
- Why chronic care management, not diagnosis, is healthcare’s biggest bottleneck
- How AI creates abundance: continuous, multilingual patient support at global scale
Rather than replacing clinicians, Munjal argues that AI’s real power lies in expanding care that makes follow-ups, medication adherence, and patient education reliable, proactive, and accessible.
Check out our Voices of Davos playlist for more exclusive interviews like this! youtube.com/playlist?list=PLMsyYLfyvI2H0E5dNwlP0qoI4s8Z8gdMK
Subscribe to stay updated on the latest breakthroughs in AI and quantum technology. Learn more about SandboxAQ’s innovative solutions at: sandboxaq.com
#sandboxaq #lqms
