Nimblemind was born when Pi and Navin witnessed promising models stall in development due to poor data curation. They set out to build foundational infrastructure they wished they had: pipelines that turn messy, multimodal health data into clean, model-ready corpuses—on demand.
What We Do
We transform messy, multimodal clinical data into model-ready datasets to accelerate the development of high-performing healthcare AI.
How We Do It
We build real-time data pipelines that curate, standardize, and label clinical data with precision—turning disparate types of clinical health data into clean, interoperable corpora optimized for AI training and evaluation.
Our Founders
Navin Kumar, PhD
Chief AI Officer
Born and raised in Singapore, Navin earned their PhD at Yale, publishing over 60 papers and securing millions in research funding. They led data science and AI initiatives at NYC Health + Hospitals, improving outcomes for over 1 million patients. After witnessing the inefficiencies in healthcare firsthand, Navin co-founded Nimblemind to tackle complex AI problems and advance equitable care.
