
NimbleMind.AI leverages big data analytics and machine learning to organize, manage, and commercialize healthcare data, helping providers optimize operations and drive innovation

NimbleMind.AI leverages big data analytics and machine learning to organize, manage, and commercialize healthcare data, helping providers optimize operations and drive innovation
Sector: Healthtech / clinical data infrastructure
Product: Clinical Data Engine for ingesting, de-identifying, labeling, governing, and exporting multimodal clinical data
Founders: Pi Zonooz (CEO) and Navin Kumar (Chief AI Officer)
Funding: $2.5M pre-seed announced Mar 14, 2025
Employees: 8
Clinical data curation and preparation for AI in healthcare
Healthcare / Healthtech
$2.5M
Round included participation from Great Oaks Venture Capital, SpringTime Ventures, Stone Mountain Ventures, Victorum Capital, Techstars, and angel investors.
“Participated by accelerator and early-stage VCs (Techstars, Victorum Capital, Great Oaks VC, SpringTime Ventures, Stone Mountain Ventures, Bread & Butter Ventures)”
About Nimblemind.ai Nimblemind.ai is revolutionizing healthcare by empowering providers to harness the full potential of clinical data. Our cloud-based SaaS platform simplifies data integration, structuring, and labeling, allowing healthcare providers to maintain security and privacy while unlocking AI-driven insights. Our mission is to enable smarter and more personalized patient care through robust Healthcare AI.
Role Overview We’re hiring a Agentic AI Engineer to support the development of intelligent agents that power our AI pipeline. You’ll work alongside experienced AI engineers and platform developers to design, implement, and evaluate task-specific agents that automate complex ML operations. You’ll build tools that help agents reason across clinical data modalities, interact with modeling services, and support human-in-the-loop decision making. This role is perfect for someone with a deep interest in AI systems, orchestration, and healthcare impact. Key Responsibilities Agent Development & Workflow Integration
Agent-Model Interaction
Tooling & Monitoring
Collaboration & Learning
Preferred Qualifications
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