Our goal is to be able to use AI to transform billions of lives in Africa via our products. We are a research driven, lean and creative company that leverages qualitative and quantitative research to put solutions in the hands of our customers. We are always exploring state of the earth approaches towards building these world class solutions.
Digitization in Africa
Digitisation of local markets in Africa is what led to the origination of the Checkoja project. CheckOja is a reliable platform to check the current prices of goods in local markets across Africa. Powered by remote data routing and real-time data analytics. The goal is to create the heartbeat of the African e-commerce ecosystem that allows people to track prices at their convenience while also providing a databank for old prices and connecting millions of local markets to the internet. As a son of a farmer who has viewed this ecosystem for decades, the economic analysis of the market can be checked in terms of prices and the tech must be deployed locally. As a Yoruba boy, I call this innovation check oja which means, view market.
Inferencing in Africa
Localised inferencing is the way to guarantee data integrity and cost reduction for large scale AI companies in Africa. Our goal is to pioneer faster ways of data inferencing to f oster ease of AI adoption. The cost of GPU and establishment of datacenters must be reduced to the barest minimum and deployed at scale. The first step in this direction is pioneering faster and scalable ways of generating power to power these data inferening platforms at scale.
Endoscopy in Africa
Endoscopy is a non surgical process used to look into holo parts of human body. It is a process used in disease inspection and early medical diagnosis. Research shows that the prognosis from endoscopy can be crucial in early stage detection and prevention of mis diagnosis. In Africa where medical practitioners are in low numbers and access to health care facilities are out of reach to the majorities, we believe quciker ways of detecting diseases through democratisation of the training process of machine learning models towards effective dignosis will be a game changer for the continent. The technological crux of this innovation include video processing, medical classification and expertise etc.
The Robotic Weaver
The weaver is the new diva of fashion and will be the next game changer for the fashion industry. The global landscape of fashion has gone through many trends so we believe large scale automation of localised African indigineous weaving patterns will offer a breath of freshness in the fashion industry. We are developing robotic processes for this to be achievable and licenses to make it scalable into large scale fashion automation. The tech involves soft robotics, control systems and computer vison.
Virtual Reality
Creality is the complain resolution assistant using AI and virtual reality. We are re creatiing new worlds and digitizing them so that monotonus work or visits in realife can be resolved digitally in the virtual world without impersonation. We believe the customer’s painpoints can be resolved with XR (virtual and Augmented Reealites). In an economy like Africa, we are looking at how this tech can be developed in a cheaper way for us to achieve mass adoption and profitability.
Hardware Design
The proxy shopper is an extension of our checkoja system. While checkoja is a reliable platform to check the current prices of goods in local markets across Africa. We are developing soft robots that can make these orders deivered in due time.
Verification Architectures
We are working on a project called catch the bad guys (ctbg) which is an AI powered authentication and verifcation system for clients and businesses that requires advance level security and encryption. As we forge strongly in global digitization, we are also developing secure systems to keep all our platforms safe.
Recommendation Architectures
Recommendation to us means ease of use, assistive spending, correlative purchases with customer’s budgets and tastes. For a continent like Africa where the common minimum wage is very low, recommendation systems must be reasonable, relaiable and be in the financial prudency interest of the customers.
Search Architectures
Search to us is the ease of navigation from curiousity to results. We are looking at how AI improves search in terms of big data, AI anomaly detection, local case study searches in regions of unbanked or nstructured markets in Africa.
Large Language Models for African languages
Indeginious LLM are needed in Africa for faster tech integration and connection to people in grass routes. As part of our digitisation strategy with checkoja project, we are developing scalable pipelines to develop at scales large langauage models for local languages common in Africa. We are building with the people and the consent of their data and feedbbacks. Our team is currently focused on English, Pidgin and Yoruba.
