Case Study: Intel achieves 40% reduction in translation costs and doubles localization volume with Lilt

Transforming Intel's Localization Strategy and Operations with Innovation in AI

Intel, a global technology company with over 110,000 employees across 60+ countries, needed to scale localization without increasing budget and wanted to adopt AI and automation to improve speed and ROI. Intel selected Lilt and its Lilt Platform—an AI-powered, adaptive neural machine translation (NMT) solution—to modernize workflows and reduce the manual overhead that limited throughput.

Lilt integrated its adaptive NMT and automation into Intel’s existing systems, enabling translators to work faster while preserving quality and reducing human review. As a result, Intel cut translation costs by 40% year-over-year, one business unit doubled its translated volume with only a marginal budget increase, and the company achieved rapid gains in translation velocity and throughput using Lilt.

Intel

Loïc Dufresne de Virel

Head of Localization