Proven experience implementing production-grade LLM workflows in quality-sensitive environments
Education & EdTech
Scaling multilingual learning through AI-powered localization
A global e-learning platform serving learners across multiple continents, with an extensive library of technical courses originally recorded in Mandarin requiring rapid expansion into international markets. JBS delivered an LLM subtitle translation platform built for course localization at scale.
The challenge
The platform needed to localize thousands of hours of content for global markets but was held back by:
- Manual subtitle translation consuming weeks per course and creating severe content backlogs
- Translation accuracy varying widely across contractors, producing inconsistent learner experiences
- Formatting errors corrupting subtitle timing and display across learning platforms
- No scalable process for handling a library spanning thousands of hours of content
- International course launches delayed by months, limiting revenue from global markets
The solution
JBS designed and implemented an LLM-powered localization pipeline enabling:
- LLM-driven subtitle translation with domain-specific tuning for technical vocabulary
- Automated formatting preservation maintaining original timestamp accuracy and display integrity
- End-to-end workflow with automated quality checks and targeted human review at exception points
- Batch processing infrastructure handling thousands of hours of video content simultaneously
- Continuous delivery pipeline enabling same-week international releases post-production
The business impact
- Courses reaching international learners within days of original release rather than months
- Translation quality standardized and measurably improved versus manual contractor processes
- Human review effort redirected from full translation to targeted exception handling
- Entire content library accessible for localization without additional headcount
- International market expansion accelerated as localization ceased to be the growth bottleneck
Results achieved
- Localization effort reduced by over 80%, freeing teams for higher-value creative work
- Time-to-publish for international courses cut from months to days
- Full content library made accessible across global markets at enterprise scale
Why JBS
Multilingual AI capability spanning translation, formatting, and automated quality assurance
Architecture designed for scale, processing large content libraries without quality degradation
End-to-end delivery model combining AI engineering with operational process design
AI course localization at enterprise scale
JBS approaches AI course localization as an end-to-end production system rather than a one-off translation task. The LLM subtitle translation platform ingests entire course libraries, applies domain-tuned translation, and preserves subtitle timing automatically — turning localization from a bottleneck into a continuous pipeline.
Frequently asked questions
How does AI subtitle translation work?
AI subtitle translation works by using large language models to translate subtitle text while automatically preserving timestamps and on-screen formatting. JBS pairs AI subtitles translation with targeted human review at exception points, so quality stays high as volume scales.
Can AI localize an entire course library?
Yes. The platform batch-processes full libraries, which is how JBS reduced localization effort by over 80% and cut time-to-publish for international courses from months to days.
Ready to make your content borderless?
Let’s build an AI localization engine that scales with your library.