We co-build AI systems grounded in local realities, designing and deploying solutions that deliver lasting public impact for the communities they serve.
What we Do
WAIG builds contextually-informed AI solutions to transform public systems across healthcare, education, and agriculture, in collaboration with regional, national, and local partners. We do not build technology in isolation. Every solution we design is shaped by the communities it serves – informed by frontline realities, validated in real-world settings, and engineered for integration into existing government systems and workflows.
Current Offerings
How We Deliver
From Problem Statement to Population-Scale Impact
Our solution design and development process follows a rigorous, human-centred methodology
We work with governments and programme teams to define the problem, map existing workflows, and identify where AI can add measurable value.
We conduct user research with frontline workers, programme managers, and beneficiaries to ensure the solution fits real-world constraints - connectivity, literacy, device availability, and language.
We build minimum viable products using locally relevant training data, test in controlled field settings, and iterate based on user feedback and performance metrics.
We integrate validated solutions into government health information systems, education management platforms, and agricultural extension networks.
We deploy at population scale, establish monitoring frameworks, and transfer operational ownership to government partners.
We work with governments and programme teams to define the problem, map existing workflows, and identify where AI can add measurable value.
AI tools that support early disease detection, improve maternal and child health outcomes, and strengthen public health systems.
We conduct user research with frontline workers, programme managers, and beneficiaries to ensure the solution fits real-world constraints - connectivity, literacy, device availability, and language.
Predictive models that help farmers make informed decisions, improve yields, and reduce losses.
We build minimum viable products using locally relevant training data, test in controlled field settings, and iterate based on user feedback and performance metrics.
AI-based learning platforms and employment-matching systems that promote access and inclusion.
We integrate validated solutions into government health information systems, education management platforms, and agricultural extension networks.
AI-based learning platforms and employment-matching systems that promote access and inclusion.
We deploy at population scale, establish monitoring frameworks, and transfer operational ownership to government partners.
AI-based learning platforms and employment-matching systems that promote access and inclusion.
Who we Serve
Strategic AI Advisory for Every Level of Government
Custom AI solutions aligned with national programme priorities, disease burdens, and learning outcomes
Lightweight, mobile-first tools deployable in low-connectivity, low-resource settings
Intuitive screening and decision-support tools requiring minimal training
Evidence-based impact reporting, co-investment frameworks, and scalable programme design
Collaborative R&D partnerships, dataset co-creation, and model validation studies
Why it matters
Who we Serve
Why it matters
Only 35% of economies meet GovTech "good practice" thresholds globally.
The OECD identifies workforce readiness as the single biggest barrier to responsible Al adoption in public institutions.
South-South Al collaboration is accelerating - governments that invest in Al upskilling for government officials today will lead tomorrow.
Resources on Solution Design & Development
Real-world insights, technical deep-dives, and impact stories from our work designing and deploying AI solutions across public systems in the Global South.
Over 90% of AI health pilots in developing countries never reach population scale. Discover the five design principles that separate scalable solutions from abandoned prototypes – and how contextual co-design changes the equation.
The best AI tools are not built in labs – they are shaped by the people who use them. Explore how co-design with community health workers, teachers, and agricultural extension officers produces solutions that actually work in the field.
From India to Ghana to Rwanda – discover how transfer learning, multilingual NLP, and modular architecture enable rapid, cost-effective deployment of AI solutions across diverse country contexts.
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Our Other Services
Explore Our Other Services
Explore Our Focus Areas
AI Solutions Built for Real-World Impact