Model Behavior Assessment
(Engine Output Only)
We analyze how your AI handles the linguistic “rules of the market”: segmentation, politeness levels, formality, character density, and variant drift (CN–TW–HK).
This shows where your AI performs well - and where it fails consistently, supporting your internal ai translation quality control and LLM output validation requirements.
Error Detection & Scoring
(Human Validation)
We evaluate factual, linguistic, tonal, and structural accuracy based on the specifications for the desired output you give us. This detailed human review serves as your human-in-the-loop ai validation layer, essential for enterprise governance.
Fit-for-Purpose Review
(Not Just Corrections)
We validate content based on your rules: your domain, your terminology, your audience, your preferred tone, and your compliance needs.