for Africa
for Africa
Teaching AI to see and understand Africa.
Infriqa is building the foundational datasets and benchmarks that make AI systems work reliably in African environments, starting with Nigeria.
Building the intelligence layer for Africa's digital future.
Infriqa is a research and development company creating the datasets, benchmarks, and models that make AI systems work for African realities. We are starting with Nigeria as the proving ground and building infrastructure that scales across the continent. Our work sits at the intersection of artificial intelligence and local context. We believe that for AI to be truly useful anywhere, it must be measured against the environments people actually live in, not just data from other parts of the world.
We are building the foundational datasets and benchmarks that measure whether AI systems truly understand African environments. Our work spans data collection, model evaluation, and the development of models fine-tuned for local contexts. Nigeria is our starting point. The infrastructure we build here scales across the continent, creating a shared standard for what it means for AI to be Africa-ready. Before building products, we build the datasets that make them possible.
Close the gap between where AI is trained and where it is deployed.
Most AI models are trained on data from other parts of the world. They perform well on benchmarks built elsewhere, but have never been rigorously tested on the objects, scenes, and environments people encounter every day across Nigeria. Infriqa exists to close that gap by building the datasets, benchmarks, and model foundations that make AI systems work for African realities.
Contribute data →AI that works for everyone, everywhere.
We are building the benchmarks that become the standard for measuring whether AI systems truly understand African contexts. Nigeria is the starting point. The approach scales across the continent. Every model that claims to be global should prove it works here.
Partner with us →Data collected in real Nigerian environments, not scraped from the internet.
Standardised evaluation that exposes the real performance gaps in frontier models.
Datasets and models released openly. Enterprise services built on top.
Three layers of infrastructure for African AI
High-quality, locally grounded data collected across African environments. Built to train and evaluate AI systems on the realities people actually experience, not just internet averages.
Standardised evaluation suites that measure how well AI models perform in African contexts. Surface the gaps that matter and track progress over time.
Practical products and partner solutions built on better local data foundations. From pilots to production systems that work reliably in African environments.
We capture real-world data from everyday objects, transport, retail, infrastructure, agriculture, and scenes across multiple sites. Contributors use their devices to document what they encounter.
Better local data and models unlock value across every sector.
Where African AI makes the biggest difference
Agent banking verification, merchant onboarding, business location confirmation, inventory auditing for distributors.
Crop and produce identification, disease detection, harvest yield estimation, supply chain monitoring.
Local vehicle detection, traffic pattern analysis, transport infrastructure mapping.
Product recognition for informal retailers, market analytics, automated cataloging for digital commerce.
Medical supply recognition, diagnostic test reading, sanitation monitoring, community health verification.
Infrastructure assessment, road condition monitoring, utility asset inspection, environmental compliance.
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FAQs
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Get in touch to contribute data, partner on research, invest, or learn more about building Africa's AI infrastructure.