5 days
Image-to-translation in the pipeline
Drop a screenshot, get a contextualized draft back. Source image parsed, OCR’d, and routed through the RAG pipeline with surrounding UI context. Production on day five.
Enterprise procurement client
LocalVersion.io builds custom AI translation systems for companies that care about the difference between accurate and merely fluent.
Fine-tuned LLMs, RAG pipelines, QA automation. Engineered by linguists who code, shipped in weeks, not quarters.
// recently shipped
5 days
Drop a screenshot, get a contextualized draft back. Source image parsed, OCR’d, and routed through the RAG pipeline with surrounding UI context. Production on day five.
Enterprise procurement client
9 days
Deterministic checks plus RAG-powered LLM validation against the client style guide. Flags inconsistencies, proposes corrections, logs decisions for review.
Enterprise procurement client
2 weeks
Per-language register enforcement, number formatting, and terminology validation. Rules authored by linguists, executed at build time.
Apple ecosystem developer
“This is what ‘agile’ looks like when you mean it. We do not have a customization team. We are the customization team.”
How we ship →We have linguists who code and engineers who translate. When you ask us for something, you are talking to the people who will build it.
// services
// industries
Complex UIs · legal strings · release velocity
02HIG compliance · character limits · platform conventions
03Cultural adaptation · player-facing tone · regional sensibility
04Precision terminology · safety-critical strings
05Jurisdictional precision · regulatory compliance
// who we are
We started in the 1990s localizing software for Apple. We have been working together on the same problem ever since.
LocalVersion was founded in 2003 by Toni Rovira and Eduard Simón. 50+ core team members. 150+ native experts in 45 countries. Eduard teaches computational linguistics at the UAB. Toni has coordinated localization for some of the most demanding software companies in the world. We read papers. We teach at universities. We argue about whether a model can be said to understand anything.
// start a conversation
We will tell you whether AI translation is the right tool, what the realistic timeline looks like, and what it would take to get there. No statement of work required to have the first conversation.