Case Study: NIRAMAI Health Analytix achieves scalable, more accurate breast cancer screening with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the NIRAMAI Health Analytix Case Study

NIRAMAI Health Analytix Making breast cancer diagnosis easier with Google Cloud and Launchpad

NIRAMAI Health Analytix, an India-based healthcare startup, was looking to scale its AI- and machine learning-based breast cancer detection service beyond its early deployments. The company needed a way to improve its cloud and mobile infrastructure, support growing traffic, and make its screening solution more accessible and easier for clinicians to use, with help from Google Cloud Platform and its Launchpad program.

Google Cloud Platform helped NIRAMAI Health Analytix containerize its services with Google Kubernetes Engine and use TensorFlow-based models in a managed, scalable environment. As a result, the company expanded from 9 to 25 installations, improved the scalability of its platform, and continued refining its models, which already achieved around 90% accuracy; it also reported trial results including 27% higher accuracy than mammography and 70% higher positive predictive value than visual thermography interpretation.


View this case study…

NIRAMAI Health Analytix

Nidhi Mathur

Chief Operating Officer and Co-founder


Google Cloud Platform

2948 Case Studies