Nimblemind launches NimbleLabs to streamline the healthcare data science workflow

Platform simplifies the deep research process for AI and data science teams.

CHICAGO, Sept. 4, 2025 /PRNewswire/ -- Nimblemind, an AI company built to help healthcare institutions and researchers unlock the full value of their data, announced the launch of NimbleLabs. This latest product is a lightweight AI platform designed to make clinical data enrichment accessible to data science teams, researchers and students. With an intuitive upload-and-enrich workflow, NimbleLabs allows users to convert raw clinical data into structured, analysis-ready outputs – enabling insights in hours instead of months. 

NimbleLabs uses AI to enrich multimodal data in preparation for analysis and modeling. The platform is purpose-built for healthcare institutions and innovators looking to accelerate research, improve data workflows, and experiment with AI-ready datasets without needing to build infrastructure from scratch. NimbleLabs supports commonly used data types in healthcare, such as: unstructured clinical notes, images, videos, streaming wearable data, patient surveys, and more. 

"Healthcare needs AI that is clinically relevant, scalable, and trustworthy. NimbleLabs transforms raw clinical data into AI-ready datasets in hours, not months, empowering researchers and healthcare systems to accelerate discovery and build solutions in areas of medicine that have long been overlooked. This is how we bring AI from the lab to the bedside."

• Brian Khan, MD, MBA, Medical Director of Digital Health and Well-Being, Internal Medicine Physician, UChicago Medicine AdventHealth

The platform builds on Nimblemind's mission to help providers and researchers enrich multimodal clinical data with structure, traceability, and context. NimbleLabs harnesses a proprietary AI enrichment engine that provides automated preprocessing, intent detection, and specialty-specific enrichment tuned to real-world healthcare needs.

"We built NimbleLabs to unlock the full potential of healthcare data. By making it faster and easier to prepare datasets for AI, we're helping providers and researchers spend less time on manual prep and more time delivering new discoveries, better care, and measurable impact."

• Pi Zonooz, CEO and Co-founder of Nimblemind.ai

The launch follows Nimblemind.ai's $2.5M seed round earlier this year, led by Bread & Butter Ventures with participation from Great Oaks VC, SpringTime Ventures, Techstars, and others. Nimblemind's products are used by healthcare organizations across the US and Asia in several specialties, including: palliative care, gastroenterology, pathology, geriatrics, and public health. 

NimbleLabs is available starting today at https://nimblelabs.ai/signup. For a limited time, users can create a free account and immediately begin transforming datasets.

About The Company
Nimblemind.ai helps healthcare organizations curate and enrich multimodal clinical data. Their platform is actively analyzing and transforming health data for customers across the U.S. and Asia. What used to take weeks of manual annotation is now completed in under a week—delivering 10x faster data labeling and dataset prep, and enabling rapid deployment of predictive models and research tools.

The founding team brings deep technical and clinical expertise: their Chief AI Officer has a PhD in Healthcare AI from Yale and previously led data science at NYC Health + Hospitals; their CEO helped build and launch over 40 products at AWS.

Early pilots highlight:

• Powers high performance models (>90% accuracy) in predicting patient outcomes, giving providers time to intervene and avoid relapse or ER utilization.
• 80% reduction in healthcare data scientist's time spent on preprocessing, profiling, and harmonizing raw datasets, giving staff more time to focus on developing and validating models.
• 20% reduction in operational costs by streamlining workflows traditionally requiring several hours of expert labor - now completed within minutes.

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SOURCE Nimblemind.ai