alethiom
Data Science For Africa.

Companies and projects across Africa are now working in a data-rich environment.
Satellite data, mobile data, internet data - ten years ago none of this was available.

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Our Interests:

Our approach enables every organisation to be data-driven by providing affordable access to data and world-class data scientists who can help you turn that data into profitable action.

Alethiom Sectors and Indicative Data Uses:

Energy – oil & gas, monitoring stocks and supplies.

Energy – solar, showing solar companies which communities to target.

Environment – conservation, forestry, carbon credits, tracking water reserves.

Agriculture – weather, crop management, yield prediction, irrigation management.

Fisheries – tracking fishing vessels and fishing activity.

About Us

Data science for Africa.

Companies and projects across Africa are now working in a data-rich environment. Satellite data, mobile data, internet data – ten years ago none of this available.

Yet few organizations have the expertise to use data effectively. Alethiom’s mission is to create products that can be used by everyone, across the continent in both commercial and social impact environments.

Our team is based in Africa. We know the market and have more than thirty years of combined experience in Africa. Our portfolio companies are active in 18 countries in West, East and Southern Africa.

Alethiom Approach

The products we build are designed for Africa. Our team works with multiple data sources including satellite data and ground-based remote sensing data from multiple sources. We combine this with proprietary data from the platforms of the companies and organizations with which we work to discern the “truth”.

We combine these multiple data sources with world-class expertise in machine learning and deep learning techniques. Our multidisciplinary team turns raw data into action, for the benefit of the communities across in which we live and work Africa.

Urban planning – tracking traffic, tracking construction.

Economic planning – estimating economic development county by county across Africa.

Poverty mapping – tracking the impact of poverty alleviation programs.

Disaster recovery – assessing needs after natural disasters.

Fraud detection – using data analytics in financial institutions to detect fraud.

Insurance.

Healthcare.