We combine AI tech and human intelligence to help medical imaging deliver faster and reliable cancer care.

Our AI powered medical imaging solution comes from the best of tech minds and medical experts in-house. We help improve diagnosis and make healthcare more efficient, accessible and affordable. We work on a constant improvement mode.

No more delays in diagnosis

Our patented technology is helping radiologists and clinicians increase recovery chances through faster analysis of medical images, prediction of patient outcomes, assistance in diagnosis and treatment planning - an overall improvement in the delivery of healthcare.

Medical imaging data is one of the richest data sources about a patient’s well-being. Our solution is made to simplify the highly complex task of analyzing images and their diagnosis. It helps detect diseases earlier, reduce human error, and automate routine tasks

OUR APPLICATION

AI medical imaging analysis models that can easily meet your changes and learn themselves for better accuracy according to your workflow.

Manentia AI uses deep learning algorithms to detect and mark the infected areas in X-Ray and CT-Scan images and provides quick diagnosis reports.

Made for Radiologists and Clinicians

Medical imaging data is one of the richest data sources about a patient’s well-being and their analysis and diagnosis is a highly complex task. Our solution is made to simplify it and help detect diseases earlier, reduce human error, and automate routine tasks.

Deliver assurance. Restore confidence. Earn trust.

Leverage the power of AI combined with human, medical expertise to deliver reliable and faster diagnosis of cancer, especially lung cancer. Use our solution for precise, tailormade treatments and improve how you deliver healthcare, to the benefit of your patients.

Enhance your healthcare delivery

We are equally serious about service, speed and performance. These are as important as our core product.

Make well informed decisions. In minutes.

A self-learning image processing segmentation platform, our solution has shown an impressive accuracy and sensitivity in identifying abnormalities from images. Our in-house developed algorithm can identify the cancer nodule, mass localization, segmentation, annotation, and measurement of nodule size through deep learning and lead to early detection and improved decision making in just a few minutes.