Niramai Health Analytix

Niramai Health Analytix

HealthTech
51-200 employees

Overview

Niramai Health Analytix is an Indian health-tech company that has developed a novel breast cancer screening solution. Their core technology is a high-resolution thermal sensing device combined with a cloud-hosted AI platform for early detection of breast cancer. Niramai's solution is designed to be more accessible, affordable, and less invasive than traditional methods like mammography, making it suitable for women of all ages and breast densities. They focus on providing a pain-free and radiation-free screening experience.

About Us

Niramai, which stands for 'Non-Invasive Risk Assessment with Machine Intelligence,' was founded with the goal of revolutionizing breast cancer screening. The company was founded by Dr. Geetha Manjunath and Nidhi Mathur. They combine thermal imaging and artificial intelligence to detect breast abnormalities at an early stage. Niramai's technology is patented and has been clinically validated. The company aims to improve early detection rates and ultimately reduce breast cancer mortality.

Vision

To be the leading provider of non-invasive breast cancer screening solutions globally, transforming the landscape of breast health and empowering women to take control of their well-being.

Mission

To create a universal breast cancer screening solution that is accessible, affordable, and accurate for women of all ages and breast densities, ultimately saving lives through early detection.

Culture

Niramai fosters a culture of innovation, collaboration, and social impact. They are driven by a passion for leveraging technology to address critical healthcare challenges and improve women's health. The company values scientific rigor, ethical practices, and a commitment to making a positive difference in the lives of patients.

Headquarters

Bengaluru, Karnataka

Specialties & Industries

Breast Cancer ScreeningArtificial IntelligenceThermal ImagingMedical DevicesHealthcare TechnologyEarly DetectionWomen's HealthCloud ComputingMachine LearningDeep LearningArtificial IntelligenceMedical DevicesHealthcareStartupProduct Based CompanyB2B