Generic models missed brand tone, forcing manual edits. A RAG workflow injecting style guides cut editing effort 30% and boosted quality.
An enterprise platform translates billions of words into more than 450 languages and locales annually for global businesses.
Foundational large language models produced fluent text but lacked the specific tone, terminology, and cultural context required for enterprise...
“Our biggest challenge was striking the right balance between accuracy and fluency. We needed translations that were faithful to our customers’ brand voice while keeping costs manageable.”
AI-powered translation management platform and localization services.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Generic models missed tone, forcing manual fixes. RAG-enhanced AI now captures brand voice, cutting human editing effort by 30%.
Manual edits on complex pairs held back delivery. Claude now handles nuance, making 80% of translations publish-ready.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.