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Nimblemind.ai Raises $2.5M to Unlock AI-Ready Clinical Data for Healthcare Providers

  • Editor
  • Mar 14
  • 2 min read

Whats Happening:

Nimblemind.ai, an AI-powered data infrastructure platform for healthcare providers, has secured $2.5 million in funding. The round was led by Bread & Butter Ventures, with participation from several other venture capital firms and strategic healthcare angel investors. The funding will be used to accelerate Nimblemind.ai's mission of making unstructured healthcare data AI-ready, addressing a significant challenge in healthcare AI.


Key Moves:

  • Nimblemind.ai raises $2.5 million in funding

  • Funding round led by Bread & Butter Ventures

  • Company aims to make unstructured healthcare data AI-ready


By The Numbers:

  • $2.5 million raised in funding

  • Partnerships secured with multiple healthcare organizations in the US and Asia

  • Platform enables transformation of raw patient data into structured, AI-ready formats


Key Quotes:

  • "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, CEO & Co-Founder of Nimblemind.ai.

  • "Nimblemind.ai is unlocking the power of AI in healthcare. By organizing and curating data from our EMR, patient surveys, and wearable devices, they are helping us identify patient interventions more effectively," said Lynn M Madden, PhD, CEO of APT Foundation.

  • "We believe that transforming healthcare represents perhaps the single most significant application of artificial intelligence in our time, and Nimblemind.ai is building the essential foundation to realize this potential," said Mary Grove, Managing Director of Bread & Butter Ventures.


Bottom Line:

Nimblemind.ai's successful funding round highlights the growing importance of AI-ready data in healthcare. By providing a platform that structures and leverages clinical data, the company is positioning itself at the forefront of the AI revolution in healthcare, potentially improving decision-making, predictive analytics, and patient care across the industry.


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