40+ Languages, One Coordinator, Shared Terminology
Your language capacity grows when your business needs it, not before. At Alafranga, multilingual programmes are not about adding languages to a list. They are about becoming a reliable part of your operations for the long term on technical documentation, legal content, marketing materials, product interfaces. We build dedicated multilingual project management around your content, your terminology, and your workflows. As your language needs grow, the programme grows with them. Consistency, speed, and quality stay constant.
The numbers behind our work
Continuous translation work since 2002, with every project recorded in our own system since 2009. The figures below come from those records, not from estimates.
6,135 projectsdelivered for 587 clients since 2009, recorded in ]Project Open[ (August 2026)
484 specialistspaid for project work since 2009, each with a purchase order history in ]Project Open[
40+ languages across our specialist network
memoQ, Trados, Phrase, Smartcatfor translation memory and terminology, on desktop or online
GPT, Claude, DeepL for AI drafts, chosen by testing on client samples
]Project Open[open-source project management system, hosted in Spain, in use since 2009
▮Multilingual Team-Building Managing translation across ten languages is not the same as managing ten translators.
Terminology drifts between language pairs when teams work in isolation. A term approved in German gets translated differently in Dutch. A style decision made in English does not reach the Arabic team. By the time the inconsistency surfaces, it has propagated across hundreds of documents.
We manage multilingual programmes as a single coordinated workflow. One point of contact. Shared glossaries applied across all language pairs. QA that treats consistency across languages as a delivery requirement, not an afterthought.
Tell us about your project Send the file, the language pair, and your deadline. We will come back with a price, a delivery date, and which workflow we recommend for that content. You can start with a single document and expand from there. We reply within 1 working hour
Through our LSP partnerships, our work reaches pharmaceutical, technology, financial services, and media companies worldwide. → View our case studies
We work in Trados and memoQ, with client-specific translation memories and glossaries maintained across every project. For large-volume programmes with several translators working at once, we use platforms to keep the translation memory synchronised across the team.
AI drafts are produced with the whole document in view, not sentence by sentence through a machine translation API, so terminology, cross-references and tone hold from the first page to the last. We are not tied to one model: we test models on your own sample files and use the one that performs best for that content and language pair. Where a programme justifies it, we also set up AI agents for file checks, terminology consistency and first-pass error detection. A named specialist reviews and signs off every output.
Not every content type suits AI drafting, so we test before committing to a workflow.