Case Study: Code.org achieves 50%+ faster localization with Localize

Code.org cuts localization cycle time by 50%+ with Localize

Code.org, a nonprofit dedicated to expanding global access to computer science education, faced a challenge with its manual localization process. Their previous workflow was slow, created engineering bottlenecks for publishing, and required high coordination overhead with a large network of translators. This unsustainable system delayed their global releases and hindered their mission-critical effort to make content culturally relevant. They partnered with Localize to find a solution.

Localize implemented an AI-assisted workflow using machine translation for first drafts, which were then refined by human experts for cultural relevance. This solution, along with in-context collaboration tools, enabled real-time updates and improved terminology consistency. As a result, Code.org cut its localization cycle time by more than 50%, eliminated publishing delays, and scaled its global impact without expanding its team.

Code.org