Case Study: a global consumer technology brand achieves multilingual AI video storytelling at scale with TrainAI by RWS

Global Consumer Technology Brand delivers 100,000 AI training objects with RWS

The Global Consumer Technology Brand faced the challenge of training a multilingual AI model to power a personalized video montage feature. The project required a massive, complex dataset spanning 20 languages to accurately understand user intent, including countless linguistic variations and edge cases that traditional methods could not efficiently capture. They partnered with RWS and its TrainAI service to generate the necessary high-quality synthetic training data.

RWS implemented a scalable, parallelized synthetic data generation pipeline using its TrainAI solution. This approach combined automated generation with human validation to create a "golden dataset" of 100,000 structured data objects. The solution significantly improved accuracy, with the English pass rate rising from 15% to 99% after human review. RWS delivered a production-ready, multilingual dataset and built a reusable framework for future AI training initiatives.