Tech Front · AI
AI Front.
African-language models, regional datasets and applied AI in production.

The challenge
Why this Front exists.
Most frontier AI is trained on data and benchmarks that don't represent African languages, contexts or use cases. The gap is widening — and so is the opportunity for builders working closer to the ground.
The AI Front backs research labs, ventures and operators building language models, datasets and applied AI that work in the conditions deployments actually face.
Where we're focusing
Briefs we're scoping with partners.
African-language models
Foundation and applied models that work across the continent's languages.
Datasets & evaluation
Regional datasets, benchmarks and evaluation suites.
Applied AI
Production deployments in health, agriculture, education and public services.
Responsible AI
Governance, safety and policy frameworks that fit the region.
How it runs
Six to nine months, from brief to deployment.
Challenge brief
Co-authored with sector partners who own the problem.
Cohort build
Selected teams prototype in context — not in a slide deck.
Field trial
Solutions tested with real users in real settings.
Procurement bridge
Working products handed to the partners who can buy them.
Who we're looking for
Partners that can help us build this Front.
- Research labs and universities
- AI operators and ventures
- Sector partners with applied use cases
- Regulators and policy bodies
- Compute and data partners
