Nimblemind.ai Receives $2.5M Investment to Enhance AI-Based Clinical Data Infrastructure

Nimblemind.ai, a data infrastructure company focused on transforming healthcare data into AI-compatible formats, has secured $2.5 million in a recent funding round. The investment was led by Bread & Butter Ventures, with additional backing from Great Oaks Venture Capital, SpringTime Ventures, Stone Mountain Ventures, Victorum Capital, Techstars, and several health-focused angel investors. The funding will support the company’s efforts to convert unstructured clinical information into structured, multi-modal datasets that can be used more effectively in AI applications.

The company aims to solve a persistent issue in the healthcare industry: the abundance of unstructured data that hinders the full use of artificial intelligence. By focusing on labeling and organizing clinical datasets, Nimblemind.ai seeks to improve data usability while ensuring providers maintain control over their information. Co-founder and CEO Pi Zonooz emphasized this challenge, stating, “We are at an inflection point where AI can revolutionize healthcare, but without well-structured, specialty-specific data, its full potential remains untapped.”

As part of its expansion strategy, Nimblemind.ai has established collaborations with various healthcare institutions across the United States and Asia. The company's proprietary technology allows clinical teams to convert raw patient information into structured formats suitable for predictive analytics, clinical decision-making, and operational improvements. According to Lynn M Madden, CEO of the APT Foundation, the platform plays a significant role in integrating data from electronic medical records, patient feedback, and wearable devices, helping healthcare teams identify intervention opportunities more precisely.

Mary Grove, Managing Director at Bread & Butter Ventures, commented on the strategic importance of this investment, stating that the transformation of healthcare through AI is one of the most significant technological applications of our time. She noted that Nimblemind.ai offers tools that support providers in everything from personalized care to streamlined operations.

Following the funding, Nimblemind.ai plans to strengthen its specialty-focused AI models, enhance its platform’s performance, and bring more healthcare organizations on board. The company continues to focus on ensuring that healthcare data can be utilized securely and efficiently, aligning with regulatory requirements and the operational needs of care providers. Through its ongoing initiatives, Nimblemind.ai positions itself at the core of AI integration in healthcare infrastructure.