Findability Sciences Signs MoU to Strengthen AI-Driven Healthcare Innovation in India

Findability Sciences Signs MoU to Strengthen AI-Driven Healthcare Innovation  in India

The new partnership seeks to build healthcare ecosystems and deploy AI-driven innovation in healthcare delivery, research, and development

Findability Sciences has entered into a strategic Memorandum of Understanding MoU with Nath School of Business & Technology and MMRI Kamalnayan Bajaj Hospital to advance AI in healthcare delivery in India.

The new partnership seeks to build healthcare ecosystems and deploy AI-driven innovation in healthcare delivery, research, and development.

The tripartite partnership intends to move beyond AI research and pilots towards scalable solutions intended to produce quantifiable gains in patient outcomes, clinical decision-making, and hospital management.

The collaboration brings together enterprise-grade AI expertise, academic research rigor, and real-world clinical environments to ensure solutions are practical, ethical, and scalable.

As per the agreement, Findability Sciences will be leading the overall AI architecture, building AI models and platforms, and governance, leveraging its proprietary methodologies and enterprise AI frameworks.

Furthermore, 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, while Nath School of Business & Technology will contribute faculty expertise, research resources, and student participation to support applied research, exprimemtation and documentation.

The collaboration is expected to enhance clinical decision-making, support diagnostic augmentation, predictive analytics, streamline operational workflow and patient outcomes, and ensure overall hospital efficiency.

Commenting on the partnership, 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.”

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