Hippocratic AI is a healthcare-focused company developing a safety-centric large language model (LLM) to address critical challenges in the healthcare sector. Founded by Munjal Shah, a seasoned entrepreneur with a background in AI and healthcare, the company aims to improve access, equity, and outcomes in healthcare through generative AI. Shah’s personal health scare and subsequent interest in healthcare inspired the creation of Hippocratic AI, which collaborates with physicians, hospital administrators, and AI researchers. The company targets challenges such as the global healthcare worker shortage by leveraging its LLM for non-diagnostic, patient-facing applications, including explaining benefits, care instructions, and emotional tone detection. By emphasizing “super-staffing,” Hippocratic AI seeks to complement healthcare professionals, reduce patient wait times, and enhance patient interactions.
The development of Hippocratic AI’s LLM focuses on three pillars: certification, reinforcement learning with human feedback (RLHF), and bedside manner. The model is trained on diverse, certified healthcare content and outperforms GPT-4 in numerous certifications. Collaboration with healthcare professionals ensures the model’s readiness for deployment, while bedside manner benchmarks aim to improve the emotional and compassionate aspects of patient care. Backed by a $50 million seed funding round, the company plans to invest in talent, data, and partnerships to advance its mission. Hippocratic AI envisions a future where its technology bridges healthcare gaps, reduces costs, and enhances the scalability of healthcare professionals, ensuring safety and accuracy in every application.