We take on the work,
then build a better way to do it.

Repetitive translation work was taking far too much time.

General AI translation alone could not reliably hold each client's terminology, tone, and quality bar.

We did not simply split the work across more translators.

We analyzed the client's real translation process and built a dedicated local-LLM translation tool for that work.

It cut the working time substantially.

We did not stop at doing the work — we built a system to do it better.

Materials made for the home market could not go to overseas clients as they were.

Message, product wording, terminology, layout, English tone, and pre-print errors — plain translation was not enough.

We redesigned the material itself rather than translating it.

We tidied the structure, unified terminology, then reviewed the language and checked it before print.

Not a translation — material you can actually use in overseas sales.

There was no clear process for how to reach overseas companies and keep selling.

Language and product specs differed by country and client, so people prepared emails and materials by hand, repeatedly.

First we defined the sales process: target selection · contact research · first email · follow-up · materials · meeting prep · replies · negotiation · closing.

On top of that, we built an AI sales agent as a pilot.

Overseas sales no longer depend on one person's English and repeated manual work.

They had the product but did not know how to approach overseas companies.

We built a practical guide covering targeting, contact research, email structure, company intro, follow-up, meeting prep, proposals, negotiation, and closing.

Not one person's experience — a sales method the team can reuse.

Inquiries came in several languages, but a dedicated person per language was not feasible.

AI supports translation, classification, drafting, and knowledge lookup; people handle exceptions, sensitive issues, and responses that need authority.

As languages grow, the service standard stays one.