SA startup Envisionit Deep AI wins $50k at Cisco global challenge

Envisionit Deep AI Cisco Radify South Africa

South African startup Envisionit Deep AI has won $50 000 at the Cisco Global Problem Solver Challenge with its healthcare solution, Radify.

The startup won a second runner-up title and was one of the top 20 winning teams.

Established in 2017, the challenge offers cash prizes to early-stage startups that have developed technology solutions to economic, social, or environmental problems.

The startup aims to partner with governments and private sectors in Africa.

The challenge received 1 745 entries from 126 countries worldwide.

“The $50 000 USD prize is an acknowledgement of hope to continue our mission, which is to address challenges in medical imaging diagnosis,” Envisionit Deep AI Co-founder and CEO, Dr Jaishree Naidoo, said in a statement.

What to know about SA startup Envisionit and Radify

Naidoo founded the Envisionit in 2019 alongside co-founders Andrei Migatchev and Terence Naidu. The medical technology company then developed Radify.

Radify is an artificial intelligence solution with which radiologists can detect abnormalities on X-rays and other images.

It can label and prioritise over 2 000 X-rays per minute and assist with early analysis of infectious diseases. It can also triage patients according to the various probabilities of Tuberculosis in children and adults.

Envisionit offers Radify solutions for chest X-rays, breast imaging, and ultrasound. Hence, it can be used to diagnose other ailments such as breast cancer.

The startup aims to partner with governments and private sectors in Africa. It seeks to provide people under the age of 15 access to paediatric diagnostic care.

“We understand the important role technology plays in transforming radiology,” Naidoo added.

Read more: Cape healthtech iNNOHEALTH raises seven-figure seed capital

Read more: Team Basket wins R25 000 first place in Silicon Cape hackathon

Featured image: Supplied/Envisionit Deep AI

Sam Spiller, Staff Writer
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