Introducing Nimblemind: The Scale AI for Healthcare

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Scale AI Found Success in Autonomous Vehicles—Now It’s Healthcare’s Turn

In the early days of AI, autonomous vehicles faced a fundamental challenge: raw sensor data was abundant, but it lacked the structure needed for AI-driven decision-making. Scale AI emerged as the leading infrastructure provider, turning unstructured data into AI-ready datasets, powering the development of self-driving technology. Their data labeling and structuring services became essential, fueling their meteoric rise to a $13.8 billion valuation.

Healthcare AI today is at the same inflection point. While AI has the potential to revolutionize patient care, 80% of hospital data remains unstructured, making AI adoption nearly impossible without a solution like Nimblemind. AI models struggle without clean, labeled datasets, and most hospitals lack the internal infrastructure to handle AI-ready data. To tackle these challenges, Nimblemind is building the Scale AI for Healthcare.

[Read our more in-depth take on the healthcare AI data challenges HERE on our insights newsletter]

Nimblemind Highlights:

“Scale AI for Healthcare” – Nimblemind solves the biggest bottleneck in AI adoption: the lack of structured, AI-ready data in healthcare. Unlike data fabric solutions that only move data, Nimblemind structures, labels, and enriches multimodal data for AI models.

Strategic Entry Point in Palliative Care & Traction with Health Systems – Instead of competing in crowded fields like oncology, Nimblemind starts in palliative care—a complex but operationally easier specialty to prove AI’s value before expanding into oncology, cardiology, and radiology. The company has already secured four signed customer contracts, nine LOIs, and a strong sales pipeline with 130+ opportunities and $2.2M in weighted ARR.

Experienced Founders – CEO Pi Zonooz (ex-AWS, launched 40+ AWS services) and Navinkumar (Yale PhD, ex-head of data science at NYC Health + Hospitals). Pi’s team at AWS was responsible for AWS Data Marketplace for Healthcare, leading teams of 70+ and $1B ARR. Navinkumar led AI-driven data structuring projects in NYC’s largest public hospital network, giving him deep insight into the operational challenges of AI adoption in healthcare systems.

Fundraising – Raising $2M Pre-Seed with $1.7M already committed from investors including Bread & Butter Ventures, Great Oaks VC, and Springtime Ventures. The funds will be used to expand engineering resources, grow sales capacity, and accelerate regulatory compliance efforts to solidify its foothold in hospital AI deployment.

Learn more about Nimblemind here → https://angellist.com/i/hiy0X-r

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Disclaimer: This newsletter is for informational purposes only and does not constitute an offer to buy or sell any securities. Investment opportunities shared are only available to accredited investors, as defined by U.S. securities laws. Investing in startups is speculative and involves significant risks, including the potential loss of capital. Please conduct your own due diligence and consult with professional advisors before making any investment decisions.