Growing Our Language Capacity — The Right Way
Over the past year, we have been quietly expanding our linguist network into languages that are increasingly relevant to our clients' markets — African languages, South and Southeast Asian languages, and other emerging market pairs.
We have not added these to our headline "40+ languages" figure. That number reflects languages where we have real project history — completed work, vetted translators, tested workflows. A language on a list without that foundation is not a capability. It is a claim.
What we have built is a candidate database that now covers well beyond 40 language pairs. When a client needs a language pair outside our active delivery network, we have a structured process to qualify and onboard the right specialist — not a generic search.
If you are working in a market where language coverage is a question, ask us. The answer is probably yes.
|
We work in Trados and memoQ, or in the client's own translation system, with client-specific translation memories and glossaries maintained across every project. 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. A named specialist reviews and approves every output. → How we manage projects |
