AI became table stakes. Language became the edge.
Every vendor claims AI-powered translation today. The real differentiator is what sits around it — the governance, the linguistic oversight, and the systems that stop automation from becoming an unmanaged brand risk.
One platform, full visibility. Adaptria, our proprietary content intelligence platform, is the single source of truth behind every project. It runs briefing, tracking, QA, and talent management in one place, with full version control across every market and format. You get one dashboard, not five disconnected tools. See how Adaptria works →
Terminology and Brand Governance
Your glossary isn’t a word list — it’s a decision engine. Our concept-based terminology management stores approved terms with context, so the right meaning gets chosen every time, not just the closest match.
- Brand guidelines, glossaries, and tone of voice stored centrally and shared with every linguist at project kickoff
- Automated QA flags terminology discrepancies in real time, before delivery
- Your brand voice stays consistent, whether the content is created by a linguist or a language model.
Copy Collaboration, Without the Email Chain
Approvals get lost in inboxes. Feedback gets buried in threads. Centralised collaboration fixes both.
- Faster approvals through one shared workflow instead of scattered email
- Every file, comment, and asset archived in one place for audit and reuse
- You cut approval time because everyone works from the same version of the truth.
Translation Memory That Pays for Itself
Every sentence we translate gets stored, matched, and reused. The more you localise, the less you should pay for it.
- Exact (100%) and fuzzy (50–99%) matches pulled automatically from previously translated content
- Translation memory refreshed with every delivery, so it keeps improving
- Repeat content costs less and ships faster, every single time.
AI Translation, Held to a Human Standard
NMT and SMT engines process volume at speed. Human post-editors catch what the engine can’t: tone, nuance, and cultural fit.
- Multiple AI engines selected by language pair to optimise output quality
- Every AI translation reviewed and refined by a human linguist before delivery
- You get AI’s speed without inheriting AI’s blind spots. See how our AI post-editing process works →
Proof: Printemps — CMS Integration at Scale
We integrated Printemps’ e-commerce CMS directly with our platform, automating content uploads, language routing, and translation memory checks end-to-end. Manual handling dropped, turnaround sped up, and stakeholders stayed in full control of final review.
Read how we integrated Printemps’ CMS end-to-end →
Want the data behind the decisions?
Our Data Science whitepaper breaks down how we apply computational linguistics and NLP to multilingual content at scale — the same thinking that powers the technology on this page.
Download our whitepaper on data science in multilingual content →
Evaluating vendors on tech capability? Let’s talk specifics.
Bring us your current stack — CMS, DAM, PIM, or CRM — and we’ll show you exactly how our technology plugs in.