Mumbai, India Feb 13: In a significant step toward accelerating the adoption of Artificial Intelligence in healthcare, Findability Sciences Private Limited, Nath School of Business & Technology, and MMRI Kamalnayan Bajaj Hospital have entered into a tripartite Memorandum of Understanding (MoU) to collaboratively research, develop, test, and deploy AI-driven healthcare solutions.
The MoU establishes a structured framework to build and validate advanced AI applications across clinical decision support, diagnostics augmentation, predictive analytics, operational optimization, patient outcomes, and overall hospital efficiency. The collaboration brings together enterprise-grade AI expertise, academic research rigor, and real-world clinical environments to ensure solutions are practical, ethical, and scalable.
Commenting on the collaboration, Anand Mahurkar, Founder & CEO, Findability Sciences, said: “Healthcare AI must be built where decisions are made—at the intersection of data, clinicians, and real operational constraints. This collaboration allows us to design and validate AI systems that are not only technically sophisticated, but clinically meaningful, compliant, and ready to scale across India’s healthcare ecosystem.”
Under the agreement, Findability Sciences will lead the overall AI architecture, model development, platforms, and governance, leveraging its proprietary methodologies and enterprise AI frameworks. Kamalnayan Bajaj Hospital will provide clinical expertise, anonymized healthcare data (in compliance with statutory and ethical norms), and access to live or simulated clinical environments for testing and validation. Nath School of Business & Technology will contribute faculty expertise, research resources, and student participation to support applied research, experimentation, and documentation.
Dr. Geoge Noel Fernandes from MMRI Kamalnayan Bajaj Hospital added: “Hospitals generate vast amounts of clinical and operational data, yet much of its potential remains untapped. By working closely with an enterprise AI partner and an academic institution, we aim to translate data into actionable intelligence that improves patient outcomes, clinician productivity and hospital efficiency without compromising ethics or patient trust. This is a step towards more efficiency and excellence in patient service.”
Representing Nath School of Business & Technology, Harsh Vardhan Jajoo, Director noted: “This MoU exemplifies applied research with purpose. Our faculty and students will engage directly with real healthcare challenges, contributing to AI solutions that are tested in real environments and grounded in rigorous research, while preparing future talent for the evolving healthcare and AI landscape.”
Together, the three institutions aim to bridge the gap between AI research and real world healthcare deployment—moving beyond pilots to solutions that can measurably improve outcomes for patients, clinicians, and hospital systems.
The collaboration also enables the publication of non-confidential academic and research outcomes, subject to intellectual property and confidentiality provisions, reinforcing India’s growing role in responsible and applied AI innovation.
With this MoU, the partners signal a shared commitment to building trustworthy, data driven healthcare systems, where AI augments clinical judgment, enhances operational resilience, and delivers measurable value at scale.
