Native-speaker AI data, globally
Multilingual Services
Native-speaker annotation, evaluation, and data collection across 30+ languages and regional dialects.
Overview
What is Multilingual Services?
Multilingual services provide native-speaker annotation, translation-adjacent evaluation, and dialect-aware data collection so AI systems perform reliably across every market you serve — not just English.
Why it matters: AI that only works in English isn't global AI. Genuine multilingual performance requires native-speaker data collected and reviewed by people who live the language and culture, not machine translation.
30+ Languages
Native-speaker coverage across major world languages and dialects
In-Language Guidelines
Guidelines authored natively, not translated, to preserve nuance
Dialect Precision
Regional dialect and register targeting for accurate coverage
Cross-Language QA
Bilingual reviewers validate semantic parity across languages
Workflow
How We Do It
01
Language Scoping
Define target languages, dialects, and regional coverage requirements.
02
Native Speaker Sourcing
Recruit and vet native speakers from the specific regions and dialect communities required.
03
Localized Guidelines
Guidelines developed in-language, not translated from English, to capture cultural context.
04
Annotation & Review
Work completed and reviewed entirely within each language community.
05
Cross-Language QA
Bilingual reviewers validate semantic consistency across all target languages.
Case Study
Global Voice Assistant
Global Voice Assistant
Localize training data across 25 languages and regional dialects
Solution
Native-speaker networks per region with in-language guideline development
Results
25
Languages covered
96%
Cross-language consistency
12 wks
Delivery
Ready to Get Started with Multilingual Services?
Tell us about your project and we'll scope a pilot within 48 hours.