AI handles speed.
Experts handle quality and judgment.
We combine large language models with years of domain expertise to build faster, more accurate, and fully accountable global language delivery for high-tech industries.
vs. traditional
one-third of the GB/T 19682 national limit
terminology assets
retention rate
AI is a production tool. Where it is used is a human decision.
What we deliver is expert-reviewed final copy, backed by a full process:
terminology management, expert review, quality audit,
and continuous optimization.
AI handles speed. Experts handle accuracy. Angel handles accountability.
How AI has changed the workflow
When AI is enough. When it isn't.
When translation affects business outcomes — regulatory approval, product safety, legal liability — AI alone is not enough.
Talk to a Specialist →Which model does what
Models differ sharply by language and by register, so we assign them per stage rather than running one engine across the whole pipeline.
| Where it is used | Model | Why this one |
|---|---|---|
| Chinese-language translation and review | Qwen MT | Trained heavily on Chinese; handles Chinese sentence structure and domain phrasing more reliably. |
| Foreign-language translation and review | Google translation model | Widest language coverage, and steadier on smaller languages than general-purpose chat models. |
| Creative content in foreign languages | Anthropic | Finer control of tone, rhythm and register — for copy that has to read as though written natively. |
| Regulatory and legal review | OpenAI | Holds reference and conditional relationships across long clauses; in this material a structural error costs more than an awkward word. |
Model selection for the remaining stages varies with the language, the register and the confidentiality terms of the project, and is not listed exhaustively. Two things we will state plainly: models run inside our controlled delivery process, directed by people, and client documents are not used to train any public or third-party model. See Confidentiality & Security.
Our 8-step delivery system
Every project runs this pipeline, with the review and QA depth set by the service level.
Four service levels. One quality system.
Different projects. Different solutions.
Not all content is the same. Not all projects need the same solution.
How we guarantee quality
Where the liability lands
A translation released without competent expert review raises the same three questions no matter who or what produced it: is it fit for purpose, who is accountable, and who pays when it is wrong. Independent industry research reached the same conclusion this year — when a translation error contributes to a bad outcome, the claim tends to travel to whichever party in the chain is least protected, not necessarily to the one who decided to skip the review.
Asking for unreviewed output is a decision to accept a lower level of assurance. It does not, by itself, settle who answers for the consequences — and an instruction nobody wrote down is worth little once a dispute starts.
Two of our eight steps — expert review and quality review — stay with people. The composite error rate each service level commits to is measured on their output, not on the AI draft. We do not remove them quietly to hit a price.
A regulatory submission, an IFU, a patent claim and a product page do not carry the same exposure. We match the service level to where the file ends up, and say so before the work starts rather than after.
Source: CSA Research, September 2026. Summarised in our own words.
Questions about AI + expert translation
Ready to upgrade your
global language capability?
Tell us about your project. We'll match you to the right service level and specialist team within 24 hours.