Your customer's language: correct, not just translated

Machine-translated outreach is instantly recognisable, and recipients switch off the moment they spot it. Every message we send is composed directly in the recipient's business language, with the register a professional in that country actually expects. That holds for the first message and for everything after it: the profile it reads, the follow-ups, the reply it has to understand, the opt-out, and the proposal the client finally receives.

The language is chosen by country

The recipient's business language is chosen by the country you target. You say which countries you sell into, and a prospect in Germany is written to in German, one in Turkey in Turkish, each in the register a professional there expects. There are no campaigns to translate, because there are no campaigns: every message is written for the one person receiving it.

Business register first

Correct formal address (Herr/Frau, Bay/Bayan and equivalents across the language set) is used only when gender is genuinely verified from public signals. Otherwise the AI defaults to a formal, neutral opening that reads as professional in that culture, so it never has to guess.

It reads the profile in its own language too

Language matters before anything is written. Job titles and company names are read in whatever language the profile is written in, so the role fence decides on a profile in any language the way it decides on one in English, and a generic title never counts as proof of fit in any of them.

A safety net that catches the model itself

Every draft is checked against the language it was supposed to be written in before it is ever allowed to send. If the model quietly slips into English for a German prospect, that draft is caught and never reaches the inbox. It is a small rule against an embarrassingly common AI failure.

Reply detection in every supported language

Opt-outs and “not interested” replies are recognised across the full language set and respected permanently. A refusal never gets a clever closing message. The thread simply, respectfully, goes quiet.

Every channel, the same language

LinkedIn invitations carry a note in the person's own language, and an InMail sent before an old invitation is given up on is composed for that person, in their language. Follow-ups are written in the recipient's language like the first message, because they are written the same way. In Test Lab you can rehearse against a simulated prospect who writes in German, and type a reply in any language to see how it is classified and answered.

The proposal, translated whole

When the conversation turns into a quote, the AI Proposal Manager translates the client document into the client's language with a language model rather than a phrase table, and caches it per proposal. If the translation cannot be completed it fails loudly: a half-translated client document is never quietly produced, and the original language always works.

What it will not do

Guess. A gendered honorific without verified gender, a draft in the wrong language, a refusal missed because it was not written in English, a client document left half-translated: a rule stops each of them, so none is left to the model's luck. It is also what lets a partner sell the platform in a market without waiting for a local version: the platform already writes to each buyer in their own language.

More about this product: AI Email Marketing

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It speaks your customer's language, correctly and not just translated

The language is chosen by country

Business register first

It reads the profile in its own language too

A safety net that catches the model itself

Reply detection in every supported language

Every channel, the same language

The proposal, translated whole

What it will not do

Test it in your own target market's language

Further reading

Follow-ups with actual judgement, not a day-3/day-7/day-14 clock

Half your open rate is a security scanner

Talk to a human 🙂