Native bilingual data for multilingual AI

Most "bilingual" datasets are translated, not native

Many annotation vendors handle French by running English content through machine translation, then having someone "review" the output. The result is data that reads correctly but carries English sentence structure, idiom, and logic underneath — and models trained on it inherit those same blind spots in production.

Anchorver annotates natively in both languages. Every English sample is labeled by an English-native annotator. Every French sample is labeled by a French-native annotator — including Canadian French, European French, and Francophone African variants where relevant. No translation pipeline sits between your data and your model.

Bilingual data, done right

From Canada to Francophone Europe

• Canada — Canadian English and Canadian French, including Quebec-specific usage.
• France — European French for AI labs and enterprises building French-first products.
• Belgium & Switzerland — French-speaking markets often overlooked by US-centric annotation vendors.
• Francophone Africa — coverage where most major annotation providers have no native presence at all.