Who we are

Building Uganda's self-sustaining AI ecosystem

The world is rapidly transitioning into an AI-first future, and Uganda cannot afford to merely consume global technology: we must create it. AI for Uganda is a national technology initiative dedicated to bridging the gap between Uganda's untapped technical potential and global artificial intelligence standards.

Institutional mandate

Engineering a self-sustaining ecosystem

We are not just teaching code; we are engineering a self-sustaining ecosystem of data scientists, machine learning engineers, and researchers equipped to solve the continent's most critical socio-economic challenges.

Our vision

To establish Uganda as a leading hub for AI and data science, leveraging structured data and local talent to drive impactful innovations.

Our mission

To democratize AI education and drive localized innovation, establishing Uganda as a premier, self-sustaining hub for data science and artificial intelligence in Africa.

Our approach

The AI for Uganda difference

While the African tech landscape is growing, there remains a critical shortage of specialized, production-ready AI talent and localized data infrastructure. We bridge this gap through a targeted, three-pillar strategy.

Capacity building training session
Talent and education

World-class capacity building

We bring global standards to local talent. Our programs are rigorously benchmarked against global leaders like MIT, Stanford, and Google. Since 2025, we have trained over 250 learners, equipping them with highly competitive skills spanning Python, machine learning, deep learning, generative AI, and MLOps.

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Sovereign data management research session
National data infrastructure

Sovereign data management

Artificial intelligence is only as powerful as the data it learns from. We are actively establishing a national data bank designed to aggregate, standardize, and open access to localized Ugandan datasets. By securing our own data infrastructure, we empower researchers and developers to build models that truly understand our context.

AI-driven local innovation fieldwork
Applied engineering

AI-driven local innovation

We prioritize applied research and practical solutions over pure theory. By leveraging local talent and home-sourced datasets, we engineer tailored AI solutions for critical sectors like healthcare, agriculture, and governance. Our commitment to localized innovation is exemplified by initiatives like the Pearl Model, a native Luganda language model built from the ground up to serve low-resource languages.

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Learners transitioning from training into applied research
Applied research

Bridging education and applied research

We believe that true mastery happens when theory meets real-world application. Through strategic academic and industry partnerships, such as our collaboration with The Foundry at Clarke International University, our learners do not just graduate with certificates. They transition directly into official research and development environments, working on active capstone projects, co-developing open-source tools, and driving applied research that shapes the East African tech landscape.

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Our leadership

Led by technical excellence

AI for Uganda was founded and is driven by deep technical expertise. Led by industry professionals, including a Google Developer Expert for AI and certified information systems auditors, our leadership team ensures that every curriculum module, research paper, and software solution meets the highest standards of production-grade engineering and governance.

Wesley Kambale, Team Lead and Lead Researcher
Department of AI Research and Engineering

Wesley Kambale

Team Lead and Lead Researcher

Directs foundational research in native Ugandan language models, speech and translation systems, large-scale indigenous text corpora, and applied healthcare and agricultural AI systems.

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Andrew Okello, Co-Director and Head of Finance
Department of Finance, Governance, and Information Security

Andrew Okello

Co-Director and Head of Finance

Information Systems Auditor, Cybersecurity Specialist, and Data Scientist leading institutional financial governance, AI safety and privacy auditing, and enterprise risk management.

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Get involved

Join the data-driven future

Whether you are a beginner taking your first steps into tech, a professional pivoting into machine learning, or an organization looking to partner on applied research, there is a place for you in our ecosystem.