Your AI translates. Our linguists review, correct, and score the output — ISO 18587-certified post-editing and evaluation, on demand, with no technology bundle attached.
Full post-editing to publishable quality, or light post-editing for understandability — performed by market-qualified linguists under ISO 18587, in your file formats and pipeline.
Structured scoring of AI output against an error framework — accuracy, fluency, terminology, style, locale conventions — with severity weighting, per-batch reports, and trend tracking over time.
Default framework based on MQM/DQF categories; if you run your own error typology, we adopt it as-is and report in your format, so results feed your existing dashboards.
| Platform-bundled review | Translia human layer | |
|---|---|---|
| Works with your existing AI | Often requires their engine or platform | Yes — any MT, LLM, or internal solution |
| Platform / subscription fee | Usually | None — pay for reviewed volume only |
| Minimum volumes | Common | None — fully on-demand |
| Error framework | Fixed to their tooling | MQM/DQF-based or your own, adopted as-is |
| Certification | Varies | ISO 18587 (post-editing) + ISO 17100 |
| Lock-in | Pipeline migrates to them | None — we plug into your pipeline |
No engine to adopt, no platform to migrate to. We review the output of whatever system you run — including your internal AI solution — and hand results back into your pipeline.
Every review runs against a defined error framework with severity weighting, so quality is measured, comparable across batches and languages, and auditable — not a matter of reviewer taste.
Beijing and Hong Kong teams with particular strength in Asian languages and variants — the pairs where generic review networks are thinnest and AI output needs the most correction.
Qualified linguists check, correct, and score translations produced by MT engines, LLMs, or your internal AI solution — from full post-editing to publishable quality, to light post-editing, to structured evaluation (LQA) against a defined error framework. Translia is ISO 18587 certified for post-editing.
Our default is based on MQM/DQF error categories — accuracy, fluency, terminology, style, locale conventions — with severity weighting and per-batch scoring. Already run your own typology? We adopt it as-is and report in your format, so results feed your existing dashboards.
No. We provide the human layer only. There is no technology bundle, no platform to adopt, and no lock-in — we plug into your existing pipeline and file formats, whatever AI produces the translations.
100+ language pairs, with particular depth in Asian languages and variants alongside major European languages. Typical content: e-commerce and product content, marketing copy, support content, technical documentation, and UI strings.
On demand, with no platform fees and no minimum volumes. Post-editing is priced per word band by language pair and target quality level; evaluation is priced per effort hour with per-file logging. You pay for reviewed volume — not capacity, seats, or subscriptions.
Agreed per content type and volume: recurring streams run on fixed cycles with defined SLAs; spikes are absorbed by a wider vetted linguist network. Tell us your daily or weekly volume by language and we'll propose a turnaround commitment.
Yes — free pilot on one real file. Send a sample of your AI-translated content; we post-edit and score it against the agreed framework, so you see reviewer quality, reporting format, and turnaround before any commitment.
Send one real file — we'll post-edit and score it for free, so you can judge the difference before committing.
Start With a Free Pilot →