Hippocratic AI Launches with $50M Seed Round for Healthcare Language Models

WHO Hippocratic AI targets the healthcare industry, aiming to empower healthcare professionals, improve patient safety, and enhance experiences within the healthcare system.

WHAT Hippocratic AI has developed a Large Language Model (LLM) for healthcare applications, initially focusing on non-diagnostic, patient-facing use cases. The model aims to ensure patient safety while expanding healthcare access and improving outcomes.

WHY The company aims to address the healthcare industry's need for a safety-focused AI platform that prioritizes workforce empowerment, reduces burnout, and enhances patient safety and experiences.

HOW IT WORKS Hippocratic AI focuses on three key aspects to build a safer Large Language Model: certification, Reinforcement Learning with Human Feedback (RLHF) from healthcare professionals, and prioritizing bedside manner. The model undergoes rigorous testing on a wide range of healthcare certifications, outperforming existing state-of-the-art language models on various benchmarks. RLHF with healthcare professionals ensures that experts in the field validate the model's readiness and safety. Additionally, Hippocratic AI recognizes the importance of delivering responses with excellent bedside manner to positively impact patients' emotional well-being and quality of outcomes.

FUNDING Hippocratic AI has successfully completed a seed funding round, raising $50 million. The round was co-led by General Catalyst and Andreessen Horowitz, with participation from other investors.

KEY TAKEAWAY Hippocratic AI's safety-focused language model for healthcare holds the potential to revolutionize the industry, improving accessibility, reducing costs, and addressing the healthcare skills gap. By combining deep healthcare expertise with advanced AI technology, the company aims to have a global impact on health outcomes.