Case Study: Large Technology Conglomerate and Pioneer Company achieves improved generative AI chatbot accuracy and global coverage with TrainAI by RWS

Global tech leader enhances generative AI chatbot with knowledge from 5,000 experts in 53 locales

A large technology conglomerate developing a generative AI chatbot engaged TrainAI by RWS to improve the bot’s accuracy, timeliness and multilingual reach while protecting the competitive advantage of its proprietary search engine. The challenge was scaling the data, linguistic and technical resources needed to train and fine‑tune LLM outputs—improving prompt‑response pairs and ensuring factual, safe, persona‑consistent results across many locales.

TrainAI delivered a blend of prompt engineering, RLHF, response rating and locale‑specific expertise, rapidly recruiting and onboarding a global team of 5,000 writers, AI data specialists and linguists. Over eight months the program completed 264,000 work hours, processed 30,000+ responses per week and supported 53 locales, resulting in measurable improvements to the chatbot’s performance and a clear competitive edge for the client.