What challenges did NIRAMAI Health Analytix face before AI implementation?

Breast cancer detection is challenging for women with dense breast tissue where mammography is less effective. Traditional mammography is expensive and radiation-based, limiting accessibility and frequent screening. There was a need for a scalable, affordable, and non-invasive early detection method suitable for all women ages.

What was the impact of the AI solution?

Achieved 90% accuracy in breast cancer detection, 27% higher than mammography. Supported over 25 installations in India with plans for international expansion. Improved accessibility and affordability of breast cancer screening, including outreach in non-traditional locations like shopping malls. Received clinical validations, regulatory preparation, and venture funding for scaling operations.

Source

GCPProductionEvidence: Medium65/100

NIRAMAI Health Analytix AI-Powered Breast Cancer Detection

Use case typeMedical imagingUpdated Jun 13, 2026

NIRAMAI Health Analytix, an India-based healthcare startup, uses AI and machine learning to provide affordable, non-invasive breast cancer detection through thermal image analysis. The system analyzes thermal images with AI models deployed on Google Kubernetes Engine, enhancing screening accuracy and scalability.

Organization: NIRAMAI Health Analytix
Industry: Healthcare
Location: India

Reported outcomes

+90%

accuracyQuality & accuracy

+27%accuracy

Strategic outcomes

New product / capabilityAI-powered non-invasive breast cancer screeningScale & capacityBuilt a scalable screening systemMarket & geographic expansionExpanded screening installations in IndiaCustomer experience & trustImproved accessibility and affordability of screening

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Accuracy: 90% increase

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Achieved 90% accuracy in breast cancer detection, 27% higher than mammography.

Normalized claim

Accuracy: 27% increase

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Achieved 90% accuracy in breast cancer detection, 27% higher than mammography.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: NIRAMAI Health Analytix
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Stories

The system analyzes thermal images with AI models deployed on Google Kubernetes Engine, enhancing screening accuracy and scalability

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1AI for Medical Imaging
2Healthcare Diagnostics

Breast cancer detection is challenging for women with dense breast tissue where mammography is less effective.
Traditional mammography is expensive and radiation-based, limiting accessibility and frequent screening.
There was a need for a scalable, affordable, and non-invasive early detection method suitable for all women ages.

Deployed a thermal image analysis system using TensorFlow machine learning models containerized and managed on Google Kubernetes Engine for scalability.
Uses AI models to extract features from thermal images and produce diagnostic reports for doctors.
Participated in Google's Launchpad accelerator program to enhance scalability, user interface, and business model.
Relies on continual model retraining to improve accuracy and reduce false positives/negatives.

Technologies

TensorFlow Google Kubernetes Engine

Achieved 90% accuracy in breast cancer detection, 27% higher than mammography.
Supported over 25 installations in India with plans for international expansion.
Improved accessibility and affordability of breast cancer screening, including outreach in non-traditional locations like shopping malls.
Received clinical validations, regulatory preparation, and venture funding for scaling operations.

Sources & evidence1

Evidence: Medium65/100Evidence strength