Case Study: a leading technology company achieves 20,000 human-authentic multilingual assets per week with LILT

Leading Technology Company delivers 20,000 weekly assets with Lilt

A leading technology company faced the challenge of scaling its AI model evaluation program, needing large volumes of high-authenticity, multilingual conversational content. They required data that mirrored real human communication across 15 languages, including multiple Arabic dialects, with controlled diversity and a strict guarantee of zero personally identifiable information (PII) leakage. To achieve this, they partnered with Lilt for its research-grade hybrid human and AI workflow service.

Lilt implemented a hybrid human-AI production system featuring dual workflows for drafting and review, randomized topic generation, and a multi-layered quality architecture. This solution enabled the delivery of 20,000 human-authentic assets per week, reduced production cycle time by 30%, and ensured zero PII incidents, providing the predictable and high-quality dataset needed for robust model evaluation.