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.
View all solutions
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.
Learn more about us
The United Nations Development Programme, the UN's global development network. PANEOTECH partners with UNDP on digital transformation programmes.
Related reading
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.
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.
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.
