Human data, made where AI is missing.
We train people across the Global South to produce the data and judgement AI systems need, and match that expertise to real AI work. Every figure below is read from the platform itself.
No figure on this page is typed in by hand. The live counts come straight from the network's own records, as totals only, and the programme figures are counted from the training and task platform that produces them.
A training and work platform, running end to end.
Recruitment, training, assessment, credentials, task assignment and expert review all run on our own platform. These figures are counted from it directly.
22
Countries in the network
Where members are based, across Africa, Asia, the Middle East and Europe
51
Lessons in the core programme
4 levels, 16 hours of study, free to every member
510
Assessment questions
A lesson is passed at 90%, and the standard does not move
22
Kinds of human work
From transcription and translation to 2D, video and document labelling
27
Future of Work modules
6 tracks on where AI is creating work
AI fails where its data never went.
Systems trained without the languages, accents and contexts of the Global South work worst for the people they are increasingly deployed to serve. The fix is data made by those people, to a standard a model can rely on.
Skills that travel
Members are trained in how AI is built and evaluated, and leave with credentials anyone can verify.
Work that is local
The language and judgement come from people who live in the markets the systems are built for.
Quality that is measured
Independent answers, expert review and agreement scores, rather than quality assumed.
Data that is governed
Raw material stays on the platform, and only staff who need submitted work can see it.
What exists today, and what is next.
Recruitment, training, assessment, task assignment and review, running end to end on this platform.
Every contributor’s standing is issued by us and verifiable by anyone, by link or QR code.
Sovereign AI for government: data that stays in the country, under the country’s own governance.
Fund the data the Global South is missing.
If you fund or run programmes in AI, language or digital skills, read how the work is done, then tell us what you are trying to achieve.