Service 03
AI/MT Post-Editing & Linguistic QA
Use automation intelligently without leaving accuracy, context, brand voice or reputational risk unchecked.
01Meaningchecked
02Terminologyaligned
03Tonerefined
04Formatverified
Who it is for
Designed around the outcome, not a standard package.
Teams balancing volume and speed with accountable human quality control and clear acceptance criteria.
We consider audience, purpose, format, volume, deadline, terminology, risk and the way your team will review the work.
Availability is confirmed by language direction, target market, content type and delivery format. A pair shown on the Languages page is not automatically available for every service.
Content we can support
- Machine-translated content
- AI-generated copy
- Terminology and style reviews
- Linguistic and functional QA
Language pairs, market variants and included review steps are confirmed during scoping.
What you receive
A practical, decision-ready delivery.
Deliverables are agreed in the quotation so your team knows exactly what is included.
Error categorisation when scoped
Terminology findings
Actionable quality report
Our approach
Clear from briefing to secure delivery.
A five-stage workflow, adjusted to the complexity and risk of your project.
- 01
Tell us about your project
Share the content, languages, audience, deadline and desired outcome.
- 02
Scope and quotation
We recommend the right workflow, team and review level.
- 03
Expert production and review
Specialists work with your context, terminology and references in hand.
- 04
Quality assurance
A structured review checks meaning, terminology, tone and format.
- 05
Secure delivery
You receive the agreed files, ready for their intended use.
Technology, with human oversight
Use the right tool—then apply judgement.
We assess the source, engine output, audience, confidentiality and consequence of error before recommending light post-editing, full post-editing or human translation. Where we control the tools, content is processed in professional translation systems under commercial terms, not consumer AI tools, and is never used to train publicly available models; we name the engine on request. Where a client or partner supplies the platform, its engine and data terms apply and we identify which before work starts. We do not use MT for clinical, patient-safety or regulatory-submission content.
Quality controls
- 01Fitness-for-purpose assessment
- 02Agreed error categories
- 03Terminology and style controls
- 04Human linguistic review
- 05Documented findings
Related experience
See the work behind the deliverable.
Our published cases explain the requirement, constraints, workflow and outcome without disclosing organisations that have not authorised identification.
View case studiesCommon questions
What buyers usually need to know.
Is post-editing suitable for every project?
No. It depends on the source quality, language pair, content type, audience, risk and desired finish. Creative, sensitive or legally significant content may require a different workflow.
What is the difference between light and full post-editing?
Light post-editing aims for understandable, usable content. Full post-editing aims for fluent, publishable language and usually involves broader corrections. We define the expected level before work begins.
Can you review AI-generated source copy as well?
Yes. The scope can include source-language clarity, factual-risk flags, terminology, tone and target-language quality.
Start a conversation
Tell us about your project.
Send the languages, content type, approximate volume and deadline. We will reply within one working day, Monday to Friday.
Request a quoteNo website file upload · NDA requests welcome