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About
Organization
The growth of AI has provided the world a unique opportunity to democratize healthcare access.
Large parts of the globe are terribly underserved from a healthcare perspective. A scarcity of doctors, long distances to clinics and hospitals, lack of facilities – these are exacerbated by the lack of access to timely, relevant health information.
Our goal is to solve for these challenges – starting in sub-Saharan Africa (where the problems are most stark) and eventually deploying globally.
A Mozambican and US Joint Venture
APOIO is the flagship product developed by Galenica. Galenica was formed as part of a vision of the founders to collectively use the transformative power of AI for the good of society as a whole, and for Mozambique and Africa in particular.
We identified Healthcare access as an area that could be vastly improved using technology. Endemic problems like poverty, low literacy rates, infrastructure challenges, and political instability contribute to low life expectancy and poor health outcomes. This in turn leads to a vicious cycle of low productivity and poor economic prospects.
APOIO was created to improve population health outcomes with greater access to care & services. It will bridging the gap by providing a 24/7 resource for urban and rural communities in the region.
Cimpogest
Cimpogest is part of a Mozambican family-owned group that comprises companies in the Manufacturing, Hospitality and Real Estate sectors.
It provides consultancy services to a range of sectors including industrial development, health, natural resources and tourism.
Quantilus Innovation
Quantilus Innovation specializes in solving real-world problems with technology. It leverages big data and AI to create tailor-made models that solve practical, tangible business and societal challenges. Our custom engineering services with over 200 big data and AI experts can take proprietary and open-source models to fit any scenario without sacrificing scalability or performance. Over the years, Quantilus has utilized AI to solve problems that prevented sustainable outcomes or upward mobility for populations.
