Review translations without guessing what the string means
Most review cycles stall because the translator cannot see the screen, the glossary, the intent, or the product nuance. Hyperlocalise puts that context beside the string.
How it works
Bad translations rarely start with bad language. They start with missing context.
The CAT workspace keeps the source, target, AI recommendation, product meaning, glossary rules, comments, warnings, and approval state in one place so reviewers can make a decision.
Know the intent
Reviewers see what the copy is trying to do before they choose the wording.
See the risk
Glossary notes, format warnings, and comments surface before approval, not after release.
Approve with confidence
AI helps explain the tradeoffs, but the human reviewer keeps control of the final call.
Explore the rest
Move between the product pillars without leaving the feature-page flow.