The global AI healthcare market is projected to expand at 38.5% CAGR from $19.27 billion in 2023 to $187.7 billion by 2030 driven by the increasing demand for enhanced efficiency, accuracy, and improved patient outcomes. Palo Alto-based Hippocratic AI has emerged as a significant player in this evolving landscape.
Hippocratic AI’s Offerings
Hippocratic AI was founded in February 2023 by Munjal Shah and a team of physicians, hospital administrators, healthcare professionals, and AI researchers from institutions such as Johns Hopkins and Washington University. The company aims to address the global shortage of healthcare workers by developing safety-focused AI solutions.
At the heart of Hippocratic AI’s offerings is Polaris, a suite of large language models (LLMs) designed specifically for healthcare applications. Polaris operates as a constellation of AI agents capable of engaging in patient interactions via audio communications, providing guidance on non-diagnostic topics such as dietary recommendations and medication adherence.
Its agentic AI is not focused on diagnosing but on addressing consumer-facing tasks explaining benefits and billing, providing medication reminders, pre-operating questionnaires, remote patient monitoring, and appointment preparation. By automating routine, patient-facing tasks, Polaris aims to alleviate the burden on healthcare professionals, allowing them to focus on complex aspects of patient care. Last year, the company had signed contracts with 23 health systems and insurers.
Given the regulatory sensitivities of the healthcare industry, Hippocratic AI places an emphasis on safety, accuracy, and compliance. It follows a rigorous evaluation process involving over 100 licensed nurses and other healthcare professionals who assess and validate its AI agents before deployment. It avoids diagnostic tasks and instead focuses on low-risk, patient-facing workflows to minimize liability and risk. Its approach aligns with HIPAA and other regulatory standards.
Hippocratic AI has also developed a robust ecosystem of AI agent creators. Clinicians don’t need to know software programming knowledge to create AI agents. US-based clinicians can become certified agent creators using Hippocratic’s AI Agent Trainer tool.
When the agent is ready, the clinician submits their agent for inclusion in the Marketplace. Hippocratic’s clinical team gives them feedback on their agent, and once necessary modifications have been made, their agent is published, along with the creator’s profile, in the marketplace. Agents undergo detailed testing before they can be sold to customers.
Phase one testing involves testing by physicians and nurses to ensure the agent completes all critical checklist items, phase two testing requires testing to be completed by more than 1,000 licensed U.S. nurses, and more than 100 US licensed physicians and phase three testing requires the product to be tested by more than 6,500 licensed US nurses, 500 licensed physicians, and the company’s health system partners.
Once the agent is listed on the marketplace, and selected by their customer, clinician creators receive 5% of the base fees plus 70% of any premium rates set by the creator. Every clinician has access to a dashboard to track their AI agent’s performance that can be used to receive feedback for further development. Today, the company has built a network of clinician builders with more than 300 AI agents focused on over 25 specialties.
Hippocratic AI’s Financials
Being privately held, Hippocratic AI does not share financials. Since its inception, Hippocratic AI has raised $278 million in funding so far. In January 2025, it was valued at $1.64 billion in a $141 million Series B financing round led by Kleiner Perkins, with participation from Andreessen Horowitz, General Catalyst, NVIDIA’s NVentures, Premji Invest, SV Angel, and several health systems. It had raised $53 million in March 2024 at a valuation of $500 million.
Hippocratic AI operates in a competitive market alongside other AI healthcare startups such as Hyro, Syllable, and AlayaCare which are all focused on leveraging AI to address specific challenges within the healthcare sector, such as patient communication, workflow automation, and home care service optimization. Hippocratic AI, meanwhile, is focused on safety and non-diagnostic roles, and on building an ecosystem of clinician developers that can help address the shortage of medical support personnel within the industry. AlayaCare also has a marketplace. It would be interesting to see how it measures up.
Photo Credit: Helena Jankovi?ová Ková?ová from Pixabay
This segment is a part in the series : Agentic AI