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DAH Labs · Innovation & incubation

The network turning data into impact.

The innovation and incubation center of Data Afrique Hub. We support entrepreneurs, startups and builders in creating high-impact technology solutions for tomorrow's Africa — from the first idea to deployment.

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DAH Labs · Benin
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About us

Turning data into a lever for Africa's development

We turn the community's energy into concrete, documented, reproducible projects built to meet real needs — health, agriculture, education, finance.

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Incubate

We guide data & AI projects from idea to working prototype, with method and rigor.

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Mentoring, method and technical support at every stage, from prototype to launch.

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A pan-African network of practitioners, institutions and technical partners who help each other.

Our projects

Projects that answer real needs

Community-led projects, public or private. Click a public project to open its code on GitHub or its live version.

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In progress Private

Afrinutri

Collecting and structuring nutrition data to train an AI dietary assistant suited to African realities.

PythonDataNutrition
In progress Public

Hub RAG Assistant

A conversational assistant that indexes the community's resources and projects so every member can find them.

LLMRAGLangChain

Your project here

Have a data or AI idea with real impact? Propose it and let the community help build it.

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Our community

A pan-African community of practitioners

DAH Labs brings together complementary profiles, united by one ambition: moving the continent's data & AI ecosystem forward.

Analysts & Data Scientists

Exploring, modeling and visualizing data.

Researchers

Monitoring, experimenting and publishing on applied AI.

AI Developers

Building tools, pipelines and data products.

Mentors & Partners

Supporting, training and connecting project owners.

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The members who run the lab's projects day to day.
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Blog

Ideas, tutorials and field notes

What the community learns, builds and shares — written by and for data & AI practitioners.

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Featured
Tutorial

Build your first RAG assistant with LangChain

From indexing documents to the first answer: the key steps to build an assistant grounded in your own data.

DAH Labs Team · · 3 min read Read the article
Data & Africa

TranslatePsy-AfriSLM tested in Wolof and Yoruba: when a small model beats a big one

A 0.8-billion-parameter translation model outperforms systems 30 to 150 times larger across 19 African languages. We tested it in Wolof and Yoruba, with native speakers.

Outreach & Tech Watch team ·
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