Hippocratic AI Secures Major Investment to Innovate Healthcare
Hippocratic AI Secures Major Investment to Innovate Healthcare
PALO ALTO, Calif. – Hippocratic AI, a pioneering company in the development of safety-focused Large Language Models (LLMs) for healthcare, has announced a significant investment from NVentures, the venture capital arm of NVIDIA. This investment is part of a newly closed extended Series A funding round, which has successfully brought in a total of $137 million. NVentures, together with Greycroft and Leo Shapiro from 7Wire Ventures, has contributed an additional $17 million, enhancing the overall fundraising to meet the growing demands of healthcare innovation.
Investment Details and Collaborations
The Series A round saw co-leads from Premji Invest and General Catalyst, attracting participation from renowned investors like SV Angel and Memorial Hermann Health System, alongside existing backers such as Andreessen Horowitz, Cincinnati Children’s Hospital, WellSpan Health, and Universal Health Services (UHS). This funding reflects a robust confidence in Hippocratic AI’s mission to redefine healthcare interaction and delivery.
Technological Innovations and Collaboration with NVIDIA
Hippocratic AI's partnership with NVIDIA is focused on leveraging advanced technology to enhance its production capabilities. Utilizing NVIDIA's NIM microservices, the collaboration aims to deliver low-latency and long-context conversational capabilities essential for patient-clinician interactions. The exciting developments were initially introduced at the NVIDIA GTC global AI conference, exhibiting capabilities such as prefix caching, speculative decoding, and prefill/decode disaggregation, tailored for real-time conversational AI.
Revolutionizing Patient Care
During the announcement, Munjal Shah, co-founder and CEO, expressed enthusiasm for the collaboration, stating that working with NVIDIA has allowed their team to achieve breakthroughs in healthcare AI technology. The advancements made promise to create LLMs that can interact more empathetically and efficiently with patients, ultimately enhancing the healthcare experience overall.
Enhancing Patient Trust
Kimberly Powell, NVIDIA's vice president of healthcare, noted the generative AI’s transformative potential in the healthcare sector. She emphasized that the technology not only expands healthcare service capabilities but also fosters trust between patients and clinicians. The safety-first approach that Hippocratic AI champions uses NVIDIA’s advanced technologies, promoting personalized and natural interactions that meet the heightened demands for patient care.
About Hippocratic AI
Hippocratic AI has a core mission to create the first safety-centric LLM dedicated to health care. The firm believes that by developing a safe LLM, it can significantly broaden healthcare accessibility and improve health outcomes globally. Co-founded by professionals with extensive backgrounds in medicine and AI, Hippocratic AI is backed by a range of esteemed investors, contributing to a sizeable total of $137 million in funding. This funding underscores the commitment and potential that Hippocratic AI holds in reshaping the future of healthcare technology.
Frequently Asked Questions
What is the primary mission of Hippocratic AI?
The mission of Hippocratic AI is to develop the first safety-focused Large Language Model for healthcare to enhance accessibility and improve health outcomes.
How much funding has Hippocratic AI recently secured?
Hippocratic AI has secured a total of $137 million in funding, including a recent investment from NVentures.
Who are some of Hippocratic AI's key investors?
Key investors include NVentures, General Catalyst, Andreessen Horowitz, and Greycroft among others.
What technologies does Hippocratic AI use in its platform?
Hippocratic AI leverages NVIDIA’s microservices to enable low-latency conversational capabilities in healthcare settings.
How does this investment impact patient care?
The investment allows Hippocratic AI to enhance its technological capabilities, leading to improved, more personalized healthcare interactions.
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