New York-based Great Oaks Venture Capital has joined a $2.5 million funding round for Nimblemind.ai, which uses artificial intelligence to make sense of vast clinical datasets held by large hospitals.
The round for the Chicago-based startup was led by Minnesota’s Bread & Butter Ventures, and included participation from SpringTime Ventures, Dallas, Texas-based Stone Mountain Ventures, Victorum Capital, Techstars and strategic angel investors.
Nimblemind.ai was co-founded by Pi Zonooz, a former AWS and Stripe executive with an MS degree in Nuclear, Plasma & Radiological Engineering, and Navin K., a Yale Ph.D. with experience in handling healthcare data. The two, working out of New York, set out to transform healthcare delivery with AI models but quickly hit a fundamental blocker — “healthcare providers are swimming in exabytes of raw, underutilized data, yet lack the infrastructure to turn it into AI-ready datasets,” Zonooz said on LinkedIn.
“We are at an inflection point where AI can revolutionize healthcare, but without well-structured, specialty-specific data, its full potential remains untapped,” said Pi Zonooz, who also has an MBA degree from Northwestern University’s Kellogg School of Management. “Our platform ensures that healthcare providers can unlock the value of their data for AI while maintaining sovereignty and compliance. We put the healthcare provider in the driver seat of their AI future.”
In a separate LinkedIn post, Navin said he has since the past several years tried to improve health outcomes for those most neglected by the system.
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“My work has focused on using AI to predict critical health outcomes, from chronic pain spikes to medication adherence,” he wrote. “I’ve explored how machine learning, NLP [natural language processing], and LLMs [large language models] can improve healthcare. But one fundamental problem kept surfacing: fragmented, unstructured data was limiting AI’s ability to truly transform patient care.”
Nimblemind.ai, Navin says, turns “raw, messy clinical data into structured, AI-ready datasets,” with the company’s AI-driven curation pipeline enabling healthcare providers to “unlock new revenue streams, improve patient care, and power the next generation of specialty-specific AI models.”
With partnerships in the United States and Asia, Nimblemind.ai has a live product and expects to use the funding to accelerate its plans to expand its specialty-specific AI models.
