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Technology & Pipeline

No black box: Here we show how a German source becomes 24 live language versions – step by step, with checkpoints that enforce quality rather than leaving it to chance.

  1. Structured source

    All content lives as structured data, not as loose pages. Every text has an address, every change a history. This makes translation incremental: if a sentence changes, exactly that sentence moves through the pipeline – not the entire website.

  2. Machine Translation with Memory

    Modern language models translate with context: Terminology databases, style guides, and already approved translations are incorporated into every request. A hash cache prevents duplicate work – unchanged content is never re-translated.

  3. Automatic Quality Barriers

    Before a text proceeds: completeness check, placeholder verification, risk filter against inadmissible advertising claims, terminology alignment. What fails is re-requested – automatically, logged.

  4. Human Review in Context

    Native-speaking reviewers see texts in the actual layout – with images, buttons, and line breaks. Findings flow back into termbases and style guides: the pipeline learns from every correction.

  5. Build & Delivery

    From source and translations, the complete website is generated as static pages: fast, secure, with no database attack surface. hreflang matrix, sitemaps, and metadata are generated, not maintained – hence they are always complete.

  6. In-house image production

    AI-powered image worlds are generated in accordance with our design system and curated for consistent lighting, palette, and tonality across hundreds of motifs – eliminating stock photo licensing risks.

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Good technology doesn't make quality possible – it makes negligence impossible.
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