ModelFront Quality Prediction scores machine-translated segments for correctness, returning verified-or-rejected decisions at the segment level. Teams use the API to publish acceptable segments automatically and route the remainder to human review.

Custom private models tune quality thresholds to each customer's content, and integrations deliver scoring inside existing translation management workflows with human-quality monitoring.