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Service

AILocalization

Ship one product into every market without a release train per locale.

release-localization · exampleRunning
release-localization, an example runSource changes feed a step that matches against translation memory and a term base before translating. Quality estimation scores every segment: 7,930 publish automatically and 482 route to a linguist. Every correction returns to the memory, so the same segment is not asked again.Source changesMatch & translatememory · term base8,412Quality estimationper segment94.6%Publishedabove threshold7,930Linguist reviewflagged482back to memory
runs on every merge · 12 localesmemory grows with each correction
  • Continuous localization
  • RTL & layout QA
  • Translation memory
  • Release gating
Theproblem

Localization breaksat the seams

A string added on Tuesday reaches a translator on Friday and the release two sprints later, by which time the copy has changed again. Teams end up shipping late everywhere, or early in one language only.

Abdul Rehman

AI Engineer · leads this service

Our approach

We wire string extraction, translation and reintegration into the same pipeline that builds your product, so a new locale becomes a build condition rather than a separate project with its own timeline.

What youget

  • Localization pipeline integrated with your CI
  • Locale coverage dashboard and release gate
  • Translation memory and glossary in version control
  • Layout QA reports per locale
New locale setup
Config, not project
String lag
Merge-time
Layout defects
Caught pre-release
Capabilities

What AI Localizationincludes

Scoped per engagement. We start with whichever of these removes the biggest constraint first.

Continuous string extraction

New and changed strings are detected on merge, with the surrounding UI context attached for whoever translates them.

Locale-aware layout QA

German runs long, Arabic runs right-to-left, Japanese breaks differently. We verify rendering per locale, not just the string table.

Translation memory as code

Memory and approved terminology live in version control beside the product and are reviewed the same way.

Release gating by locale

Hold the build, ship partial, or ship with fallbacks: an explicit decision instead of an accident discovered in production.

Format and framework coverage

ICU MessageFormat, JSON, XLIFF, gettext, iOS and Android resources, and CMS-driven content.

Vendor-neutral routing

Your existing LSP, an MT engine, or an internal reviewer. Routing is a configuration choice, not a rebuild.

Delivery

Howa project runs

Typical shape for this service. Timings move with scope, the order does not.

  1. 01

    Trace

    Week 1

    We follow one string from the moment it is written to the moment a user in another market reads it, and record every hand-off it survives.

  2. 02

    Architect

    Week 1–2

    We design extraction, routing and write-back around your repo, file formats and release cadence.

  3. 03

    Integrate

    Week 2–6

    The pipeline runs alongside your current process until locale completeness stops being checked by hand.

  4. 04

    Hand over

    Ongoing

    Source, runbook and the failure modes we hit, so your team can operate it without us.

Typicalstack

Tools we reach for

Chosen per engagement and biased toward what your team can maintain after we leave.

  • TypeScript
  • Python
  • ICU MessageFormat
  • GitHub Actions
  • LLM APIs
  • PostgreSQL
Commonquestions

The questions we getabout Localization

  • Do we have to replace our current LSP?

    No. We integrate with your existing vendor. The pipeline decides what gets routed where; it does not care who does the translating.

  • How do you handle right-to-left languages?

    RTL is treated as a layout concern as much as a text one: mirrored components, bidirectional text handling, and per-locale visual QA before release.

  • What if our strings are hardcoded?

    We extract them as the first phase. That audit is usually the most valuable part of the early work.

Starthere

Tell us the process,not the solution.

The most useful first message describes what someone on your team does by hand today and how often. That is enough for us to tell you whether it is worth building.

What happens next
  • A named engineer reads it, not a form inbox
  • Reply within 24 hours, even if we're not the right fit
  • A 30-minute call to trace the process end to end
  • A fixed-scope quote, or an honest no