Case Study: a leading frontier lab achieves 10–30% model improvement with LILT multilingual training and evaluation data

Leading Frontier Lab improves model performance 10–30% with Lilt

The customer, a leading frontier lab, needed to produce deep, linguistically rigorous training and evaluation data across 31 languages to advance its frontier model. Standard annotation methods lacked the depth required to probe model weaknesses and grade outputs consistently. They partnered with Lilt for its expert linguistic data services.

Lilt implemented a solution using expert linguists to create domain-aware data, perform targeted failure-mode probing, and apply standardized error grading. This resulted in a 10 to 30% measurable model improvement, a 97% acceptance rate on delivered work, and 100% on-time delivery across all 31 languages.