Hippocratic AI, a startup focused on building healthcare-specific large language models (LLMs), has raised $50 million in a seed funding round co-led by General Catalyst and Andreessen Horowitz. Founded earlier this year by entrepreneur Munjal Shah, the company aims to address critical shortages in the healthcare workforce by providing AI-powered solutions for non-diagnostic tasks. The model, designed with deep medical knowledge and informed by healthcare worker feedback, will emphasize safety, compliance, and empathetic communication with patients. Hippocratic’s approach stands out by prioritizing certifications across various healthcare roles and integrating bedside manner into its AI capabilities.
Backed by strong industry connections through General Catalyst’s partnerships with healthcare providers, Hippocratic is positioning itself as a trusted, industry-aligned platform. Shah envisions the AI assisting in areas like patient engagement and administrative tasks, helping alleviate burdens on overstretched healthcare systems. The significant investment reflects growing interest in AI tailored to specific industries and confidence in Hippocratic’s rigorous focus on safety, compliance, and privacy. Both General Catalyst and Andreessen Horowitz recognize the high stakes in healthcare AI, with the latter highlighting the need for substantial funding to meet the stringent requirements of the field.