Tutorials
A mobile knowledge platform for the Sahel that assumes continuous connectivity and a single language is a platform the audience cannot use. Offline-first multilingual architecture is not a feature. It is the structural premise that decides whether the platform reaches the users whose decisions it exists to inform.
Global standards, local reality. Context-anchored solutions for the African market.
View all expertiseProprietary platforms designed, developed, and operated by PANEOTECH’s Innovation Lab. Each product addresses a specific structural gap in the African institutional and consumer technology landscape.
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PANEOTECH's enterprise-grade AI agent platform, purpose-built for organisations that serve African markets.
Africa's mobile payments unified in one borderless gateway.
A modular Pan-African ERP suite, thirteen integrated modules engineered for the way African institutions and growing businesses actually operate.
Africa's premier business intelligence platform, the pulse of African business and investment across all 54 markets.
The one-stop African tourism platform, connecting travellers, operators, and destinations across the continent.
A talent and booking marketplace connecting African professionals to the employers, programmes, and clients seeking to hire them.
A snapshot of projects in flight, and the institutions we deliver them with.
View all projectsRecent projects
In Delivery
FAO Somalia (for the Somali Agricultural Regulatory and Inspection Service)
In Delivery
ACBF (a specialised agency of the African Union, with the Bill and Melinda Gates Foundation as funder, in joint venture with JAMII LAB)
Live
UNDP Mauritania
Live
POLIWATCH AFRICA
Recent clients
Building African World Class Solutions
PANEOTECH engineers digital systems for the institutions building Africa''s next decade.
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Analysis, tutorials, and stories from PANEOTECH engineers, designers, and consultants on the realities of building digital systems for African markets.
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Field Notes
Continental knowledge platforms fail when engineering and research are treated as separate phases. The discipline is to run them as parallel workstreams that inform each other in real time.
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Tutorials
Full automation looks like the natural endpoint of an AI alerting system. It is not. Public-safety alerting requires institutional accountability that no algorithm can carry, and the architecture has to enforce the human validation that protects the chain of accountability.
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Case Studies
Cross country PFM benchmarking is only as credible as the harmonisation methodology underneath it. Treat performance normalisation as an analytical discipline, not a UI feature, and the platform earns the trust of finance ministries.
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Field Notes
A national early warning system in a data-scarce context faces a structural choice: wait for national infrastructure to mature, or build on the global scientific sources that already exist. The choice that protects lives is the second one, and the engineering discipline that makes it work is the discipline that defines the platform.
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Case Studies
How a single API gateway behind USSD, SMS, WhatsApp, and email lets institutional clients run national engagement programmes without managing four vendors and four integrations.
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Case Studies
Deterministic hydrological models and deep learning models are usually treated as alternatives. The hybrid architecture deployed on HydroMet AI treats them as complements, and delivers a measured twelve percent precision gain over the deterministic model alone.
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Field Notes
Why a smartphone first design would have failed FAO Zambia's SIFAZ programme, and how a unified USSD, SMS, WhatsApp, and email engine reaches farmers across the entire connectivity spectrum.
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Tutorials
Continental business platforms serve audiences with genuinely different operational depths. A single tier flattens them. Five tiers honour them. The discipline is locating the boundaries between tiers in a way that is defensible to every audience.
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Field Notes
A continental institutional platform is a long-horizon undertaking. The vendor delivery model fits a one-off project. The co-ownership model fits the institutional reality that some platforms are not finished when the build is done.
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