Skip to content
One6
Multilingual AI Data

Multilingual data from native speakers, not machine translation

Models that work well in English often break on dialects, code-switching and cultural context. One6 works with native speakers to collect, transcribe, localize and evaluate data so your model behaves correctly for the people who will actually use it.

What we deliver

Native-language data collection

Text and speech produced by native speakers, including regional dialects and natural code-switching.

Transcription and translation

Human transcription and translation that preserves meaning, tone and domain terminology.

Localization review

Checks that content, prompts and model output read naturally and appropriately in each target market.

Multilingual model evaluation

Native speakers rate and correct model responses for fluency, accuracy and cultural fit.

Common use cases

  • Extending an LLM or assistant to new languages
  • Testing model quality in markets before launch
  • Building speech datasets for lower-resource languages
  • Reviewing machine-translated training data

How a project works

  1. 01

    Scope

    A short call to understand your model, data requirements, quality bar and timeline.

  2. 02

    Pilot

    A small first batch so you can review real output before committing to volume.

  3. 03

    Scale

    Once the pilot meets the agreed bar, we staff up and deliver in regular batches with ongoing QA.

Frequently asked questions

Which languages do you support?

Coverage depends on the project's language and dialect requirements. Tell us the languages you need and we'll confirm availability and contributor profiles during scoping.

Are contributors native speakers?

Yes — language work is staffed with native or near-native speakers of the target language and, where relevant, the specific regional variety.

Related services

Planning a multilingual data project?

Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.