AI is global. Intelligence should be too.
The world's AI systems increasingly operate in markets whose languages, cultures and real-world contexts have historically received less representation in AI infrastructure.
This is not a story about markets that lack data. These are places rich in language, expertise and knowledge that has simply never been collected, structured or evaluated in a form AI systems can use. That gap is the work.
Not one market. Thousands of contexts.
We build depth market by market rather than treating a region as a single undifferentiated source of data.
Africa
Our starting point and deepest coverage. Enormous language density, rapid mobile adoption and sectors where local context decides whether a system is usable.
South Asia
Many languages and scripts in daily simultaneous use, with heavy code-switching and a wide range of device and connectivity conditions.
Southeast Asia
Archipelagic language variation, strong regional platforms and commerce patterns that differ sharply from Western defaults.
Latin America
Regional Spanish and Portuguese variation plus indigenous languages that mainstream systems handle poorly.
Coverage deepens market by market. Where a language or sector is not yet represented, we will say so rather than imply capability we have not built.
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