We fixed the problem that other agencies did not acknowledge.
smart-translator was built in 2016 after seeing the same failure pattern repeat itself across multiple industries: a translation agency assigns work based on language pair availability, not professional alignment. A mechanical engineering specification goes to a translator with a literature degree. A commercial contract goes to someone who has never worked in a legal or business environment. The output is grammatically correct and professionally inadequate.
The matching problem seemed so basic that it was hard to understand why agencies were not solving it. The answer, it turned out, was that solving it is harder. You need a translator network that is organized by professional background, not just language pair. You need sourcing processes that verify credentials, not just fluency. And you need the discipline to decline work when the right specialist is not available, rather than assigning whoever is closest.
We built that system and have operated it since 2016. Today our active translator network covers over 50 language pairs, organized by professional background across law, pharmaceutical, engineering, finance, publishing, and digital media. Every project goes to a translator whose career overlaps with the content. Every time.
