Language coverage
62+ languages and variants, with native speakers assigned by market and content type.
Translation, localization and data services
We translate and localize into more than 50 languages, and we collect, label and transcribe the data product and research teams rely on. Native linguists, two review passes and a measured accuracy figure with every delivery.
Six service lines, one standard of review. Pick one or combine them across a single project.
The same four stages whether the work is a single pilot or a standing weekly delivery.
We agree the data types, volume, languages and quality target, then write the project guideline together.
A small paid batch proves the guideline works. You review real output before any volume is committed.
Trained teams deliver on a weekly schedule, with every batch reviewed against the agreed standard.
Each delivery carries sampled accuracy, reviewer agreement and notes on cases that need your decision.

Most data problems trace back to an unclear instruction or a batch nobody checked. We write the guideline before work starts, review every batch twice and report the numbers with delivery, so you can see quality instead of taking it on trust.
Serious translation and data projects need proof of process before files are shared. These are the checks we put into the first scope.
62+ languages and variants, with native speakers assigned by market and content type.
Guidelines, calibration samples, two review passes and a scored report with every batch.
Signed agreements, limited access and the option to work inside your own tools when files cannot move.
Source notes, glossary, style guide, export format and review findings delivered with the final files.
Start small and scale, or bring us in for a fixed delivery. The review standard is the same either way.
A small scoped batch with the guideline written together. You see real output and a quality score before committing volume.
Best for a first project or a new data type
A defined volume against a deadline, staffed with trained annotators or linguists and reported weekly.
Best for a launch, a dataset refresh or a market rollout
A named team reserved for you month to month, working in your tooling and your terminology.
Best for continuous annotation or ongoing localization
Notes on curation, annotation quality, evaluation and the rules that govern data collection.
Data preparation
Filtering, de-duplication and balance do more for data quality than another round of tuning.
9 min read
Responsible data
Bias is usually a sampling problem before it is an algorithm problem. Fix the collection plan first.
10 min read
Data strategy
Generated examples fill gaps in rare events and sensitive domains, but they cannot replace real collection.
9 min read
Send the languages, data type and rough volume. You get a scoped pilot and a written quote, usually within two working days.