Where the data lives
Every bubble is a real location. Size and intensity reflect datapoint density — where we've collected the most, and where we're still building. Kenya is the primary market. East Africa is next.
Hover any bubble to see location details · Scroll to zoom · Data updated as scouts submit
What global AI ignored
The internet is 98% non-African. Every AI — Claude, GPT, Gemini — was trained on that data. Which means African prices, markets, languages, and context were almost entirely absent from every intelligent system on the planet.
What AfriFoundry is building — the 98%
The 98% of African data that global AI never had. Real prices, real markets, real context — collected at ground level by people who were actually there. Verified, structured, permanently owned by AfriFoundry.
Why this is a moat
No competitor can train on data that doesn't exist. We have a 9-month head start building a dataset that will power every AI that wants to serve Africa — including ours.
Nothing junk enters the database.
Every datapoint passes through a 5-stage pipeline. Every point has a location, timestamp, source, and confidence score. Nothing estimated. Nothing scraped from Wikipedia.
Real data. Real places. Real people.
12 data types across 15 sectors. Every category has a scraper, a field collection protocol, or both.
Markets we've walked
Our scouts and founder have personally visited every market below. The data wasn't estimated — it was collected on the ground, by people who were there.
15 sectors. Growing.
See the data in action
Every conversation with AfriFoundry AI draws from this dataset in real time. Ask about prices in your market. See what 500,000+ verified African datapoints feels like.
Talk to AfriFoundry AI →