Munjal Shah’s Hippocratic AI Attracts $53 Million to Advance Generative AI in Healthcare.

Hippocratic AI, a startup co-founded by Munjal Shah in 2023, has recently secured $53 million in a Series A funding round. This brings the company’s total funding to $120 million and valuing it at an impressive $500 million. The round was led by Premji Invest and General Catalyst, with participation from SV Angel, Memorial Hermann Health System, and existing investors such as Andreessen Horowitz (a16z) Bio + Health, Cincinnati Children’s, WellSpan Health, and Universal Health Services.

Munjal Shah’s mission for Hippocratic AI is to develop artificial intelligence agents that can assist with low-risk, nondiagnostic, patient-facing tasks in healthcare. The company focuses on creating a “constellation” of large language models (LLMs) that leverage generative AI to provide services such as patient navigation, chronic care nursing, and dietitian advice. By addressing the global shortage of healthcare professionals, Munjal Shah aims to extend the reach of medical care to more patients than would be possible with human workers alone.

The core of Hippocratic AI’s technology is its Polaris architecture, a multiagent LLM constellation optimized for real-time healthcare conversation. This system combines a primary generative AI conversational agent with numerous specialist support agents, each fine-tuned for specific medical tasks. The AI agents are trained using evidence-based research, simulated conversations, and input from U.S.-licensed nurses and patientactorsr. This resultsg in empathetic and knowledgeable AI that can engage in natural and supportive dialogue with patients.

Munjal Shah announced a partnership with chipmaker Nvidia in March 2023 to reduce latency for real-time patient interactions. He stated, “Nvidia’s technology stack is critical to achieving the conversational speed and fluidity necessary for patients to naturally build an emotional connection with Hippocratic’s Generative AI healthcare agents.”

Hippocratic AI’s internal research has yielded promising results, with its AI agents demonstrating superior performance compared to human medical professionals and other LLMs in several nondiagnostic tasks. The company’s AI delivered correct medical advice 96.79% of the time, surpassing the 81.16% accuracy rate of human nurses. Additionally, Hippocratic AI’s constellation outperformed industry giants like Google’s Llama 2 70B Chat and OpenAI’s GPT-4 in recognizing the impact of medications on lab tests, identifying condition-specific disallowed over-the-counter drugs, and detecting toxic OTC dosages.

Despite these promising results, Munjal Shah and Hippocratic AI remain committed to a cautious and safety-focused approach to integrating AI into healthcare. The company continues to carry out a multiphase safety testing protocol, engaging with a broad network of healthcare systems and professionals to validate its AI agents. Munjal Shah stated, “We’re going to sit here until it’s safe, as determined by clinicians.”

As Munjal Shah and Hippocratic AI continue to develop their technology and collaborate with healthcare systems and professionals, the company’s focus on safety, strategic partnerships, andpreciser applications of generative AI in healthcare positions it to play a significant role in shaping the future of medical innovation. With the latest funding round valuing the company at $500 million, Munjal Shah’s Hippocratic AI is poised to revolutionize healthcare by leveraging the power of generative AI to support healthcare professionals and improve patient care.