Last Updated: 9 January 2025
Hippocratic AI, the company that pioneered the first healthcare LLM for patient-facing non-diagnostic clinical tasks, has raised $141 million in its Series B financing round. This fresh capital arrives only nine months after its Series A.
The new funding values the company at $1.64 billion and was led by Kleiner Perkins, the venture capital firm known for backing Google, Amazon, and Genentech.
Other investors joined at or above pro-rata, including A16z, General Catalyst, Premji, NVIDIA, SV Angel, Universal Health Services (UHS), and WellSpan Health. Their continued support further underlines Hippocratic AI’s growing reputation in the healthcare AI sector.
Hippocratic AI’s Large Language Model (LLM) is designed for patient-facing tasks in healthcare, a market that has seen rising demand for more efficient staffing and better patient engagement. Integrating AI for non-diagnostic tasks can ease clinical burdens, help patients receive faster service, and potentially fill in staffing gaps where human resources are limited.
“While we had been tracking Hippocratic AI because of its focus on safety and unique constellation LLM architecture, the company's incredible commercial traction is a clear signal that they are winning a new category. The total addressable market of using generative AI for solving healthcare staffing shortages is probably 10 times the size of the healthcare software market alone, and we're excited to support the Hippocratic AI team on their journey.”
Mamoon Hamid, Partner at Kleiner Perkins
The company plans to use this new capital to further its mission of providing healthcare abundance and improving patient outcomes around the world. This is supported by Hippocratic AI’s safety-focused Polaris constellation LLM architecture, which aims to lower risk and deliver reliable support. Hippocratic AI also intends to grow into more verticals, such as pharma and payors, and target additional global regions (EMEA, Southeast Asia, and Latin America).
"The last nine months have been a very productive period at the company. We raised our Series A with the support of Premji and NVIDIA; released our Polaris 2.0 architecture; expanded our nurse, physician, and industry advisory councils; received our first US patent; achieved safety parity of our AI agents with human clinicians; signed contracts with 23 health systems, payors, and pharma clients in just 23 weeks; launched 16 of those clients; and received a positive reception from patients. This round of financing will accelerate the development and deployment of the Hippocratic GenAI-driven super staffing and continue our quest to make healthcare abundance a reality."
Munjal Shah, co-founder and CEO of Hippocratic AI
Hippocratic AI has developed a safety-focused Large Language Model for healthcare. The team believes that a safe LLM can bring deep healthcare expertise to patients everywhere, improving both accessibility and outcomes.
The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. According to the team, they worked closely with founding health systems such as UHS, Honor Health, WellSpan Health, Cincinnati Children’s, OhioHealth, and Memorial Hermann, agreeing not to launch until their product was as safe as a human nurse—a milestone they reached with the launch of Polaris 2.0.
What sets Hippocratic AI apart is its focus on healthcare-specific safety measures and a constellation LLM architecture.
This approach aims to protect patient well-being while expanding the usability of AI in clinical and administrative workflows.
Before this Series B, Hippocratic AI raised funds in a Series A round with support from investors like Premji and NVIDIA. Altogether, Hippocratic AI has received $278 million in total funding to date.
The company’s investor roster reflects both technology and healthcare expertise:
Each of these investors brings unique resources and networks to help Hippocratic AI continue building its platform, entering new markets, and supporting healthcare providers worldwide.
