KenyaKenyaRwandaNigeriaIndonesia Nairobi, 209 State House Road +254 791 387 210 Kigali, MIC Building, KN2 Nyarugenge +250 780 468 173 Lagos, Africa Re Building, Victoria Island. +250 780 468 173 Jakarta, Jl. Abdul Majid Raya No.23, Cilandak, Kota Jakarta Selatan +62 811 802 3000
Email Artificial intelligence and deep learning for radiology

1000 Alternatives > Health > Artificial intelligence and deep learning for radiology

About uses artificial intelligence and deep learning in radiology to make healthcare more accessible and affordable. The core team combines skills in deep learning  with clinical, scientific and regulatory knowledge of the medical field. has an advisory panel consisting of radiologists, other doctors and public health experts to define clinically relevant real-world solutions for real-world problems in Africa.


Artificial Intelligence100%
Deep Learning Algorithms100%
X-rays and Biopsies100%

Why this company is lock-step uses deep learning to automate the first-level diagnosis of lung diseases and certain types of diseases that are easily diagnosable through biopsies. also has tools that diagnose children and adults with learning and mental difficulties. is targeted for use at rural hospitals who are short on expertise and where the services of a radiologist can be reduced through automating the first-level diagnosis. This brings down the costs of, therefore access to medical services is improved without a compromise on the quality of diagnosis’ made. 

Our investment

We provided with incubation and acceleration support, access to shared services and to our business management and medical advisors and are currently linking them to global markets through our partnerships with incubators and accelerators world-wide.  

Formal launch of pilot: January 2019.