Evaluate multilingual LLM outputs for language quality, factual consistency, terminology, instruction adherence and market suitability through structured human review.
How it works
Evaluate multilingual LLM outputs for language quality, factual consistency, terminology, instruction adherence and market suitability through structured human review.
Projects are scoped by content type, target languages, audience, confidentiality, turnaround and required review. The workflow can combine technology-assisted processing with specialist human translation, terminology management and final quality assurance.
AI is a routing choice, not a quality label
Automation can accelerate suitable content, but it changes the error profile. We decide whether AI is appropriate based on confidentiality, consequence, repetitiveness, available reference material and the amount of human verification required.