Multilingual AI data at scale
Translation & Localization
Professional translation across 30+ languages for AI training datasets, product localization, and multilingual model training.
Overview
What is Translation & Localization?
Effective AI localization goes beyond word-for-word translation. It requires native-speaking linguists who understand cultural nuance, domain terminology, and model-specific formatting requirements.
Why it matters: Global AI products require multilingual training data that is not just translated but culturally adapted. Literal translation creates training data that teaches models incorrect cultural associations.
30+ Languages
Native speakers across major world languages and regional dialects
Domain Expertise
Legal, medical, technical, and creative translation specialists
Linguistic QA
Dual-pass review by independent native-speaker reviewers
AI-Ready Formats
XLIFF, TMX, JSON or any ML pipeline format
Workflow
How We Do It
01
Language Scoping
Assess target languages, domain requirements, and specialized terminology.
02
Glossary Creation
Brand and domain-specific glossaries ensure consistency across large projects.
03
Translation
Native-speaker linguists translate and culturally adapt content — meaning, tone, and intent.
04
Linguistic QA
Fluency, accuracy, and cultural appropriateness reviewed by a second native speaker.
05
Format Validation
Translated content validated in final format for direct pipeline integration.
Case Study
Voice AI Company
Voice AI Company
Build multilingual speech dataset across 20 languages
Solution
Native-speaker collection, transcription, and linguistic QA across regional dialects
Results
200K
Audio hours collected
20
Languages covered
98.5%
Accuracy rate
Ready to Get Started with Translation & Localization?
Tell us about your project and we'll scope a pilot within 48 hours.