Native-speaker annotation in 40+ languages.
Overview
What is multilingual services?
Multilingual services provide native-speaker annotation, evaluation and dialect-aware data collection, so AI systems perform reliably across every market you serve, not just English.
AI that only works in English is not global AI. Real multilingual performance needs data collected and reviewed by people who live the language and culture, not machine translation.
Native-speaker coverage across major world languages and dialects.
Guidelines authored natively, not translated, to preserve nuance.
Regional dialect and register targeting for accurate coverage.
Bilingual reviewers validate semantic parity across languages.
Workflow
How we do it
- 01Language scoping
Define target languages, dialects and regional coverage requirements.
- 02Native speaker sourcing
Recruit and vet native speakers from the specific regions and dialect communities.
- 03Localized guidelines
Guidelines developed in-language, not translated, to capture cultural context.
- 04Annotation & review
Work completed and reviewed entirely within each language community.
- 05Cross-language QA
Bilingual reviewers validate semantic consistency across all target languages.
Case study
Localize training data across 25 languages and regional dialects
Native-speaker networks per region, with in-language guideline development.
Ready to get startedwith multilingual services?
Tell us about your project and we will scope a pilot within 48 hours.