Use cases
Every team shipping to 10+ locales hits the same wall: manual QA doesn’t scale, visual regression tools weren’t built for multilingual UI, and TMS platforms don’t see what actually renders. Agentic localization QA replaces all three.
Linguistic QA
German expands 30% past English. Arabic mirrors layout. French swallows buttons. GTW2 agents render every string in context and flag only the truncation that actually breaks the UI — no false positives from baseline-vs-localized pixel diffs.
Globalization testing
Currency formats, date formats, pluralization, RTL layout, font fallback. Agentic globalization testing verifies the full i18n stack on real screens, not synthetic tests — so QA doesn't stop at string extraction.
Visual regression
Traditional visual regression tools flag every translated screen as a bug because the baseline is English. GTW2 understands locale context and only reports real layout regressions — not expected text differences.
Missing translations
Strings that quietly fall back to English are invisible to most TMS integrations. Agents compare rendered text against locale expectations and surface missing translations before they ship.
Pre-release QA
If native-speaker QA has become your shipping bottleneck, autonomous localization testing runs continuously on every deploy. Humans review the findings that matter instead of clicking through every screen in every locale.
Scaling to new markets
Shipping to a new market shouldn't require weeks of manual review. Point GTW2 at the new locale and let the agents establish what's broken, what's missing, and what needs linguistic attention.
Read the deep dive on why autonomous agents are replacing manual l10n review and legacy visual regression.
