Proven expertise in multilingual conversational AI and large-scale knowledge system design
Research & Knowledge Services
Making academic research conversational
A research consortium managing a substantial multilingual document library that researchers from multiple institutions needed to access quickly and efficiently—without language barriers limiting discovery.
The challenge
Growing content libraries and language barriers were suppressing research productivity and cross-institutional collaboration:
- Document library navigable only through rigid search interfaces misaligned with how researchers think
- Multilingual content presenting barriers to researchers not fluent in all source languages
- Time spent on information retrieval reducing time available for substantive research work
- Knowledge siloed within institutional repositories difficult to cross-reference efficiently
- Low discoverability of relevant existing research resulting in duplicated effort across institutions
The solution
JBS implemented a multilingual conversational AI platform enabling:
- Natural language interaction allowing researchers to query the full corpus through intuitive dialogue
- Multilingual support enabling questions and answers to cross language barriers seamlessly
- Intelligent retrieval combining semantic and keyword search for comprehensive result coverage
- Dynamic summarization generating concise, attributed responses from multiple relevant source documents
- Continuous learning architecture designed to improve retrieval relevance based on researcher interactions
The business impact
- Research information accessible through natural language, reducing expertise required to navigate the corpus
- Multilingual barriers substantially reduced as the platform enables cross-language knowledge access
- Time from research question to relevant findings shortened considerably versus prior search tools
- Duplicate research effort reduced as existing institutional knowledge became more discoverable
- Researcher engagement with consortium knowledge assets measurably increased following launch
Results achieved
- Knowledge retrieval speed improved significantly versus traditional rigid search interfaces
- Multilingual access enabled, breaking down language barriers across the research community
- Researcher engagement with institutional knowledge assets measurably increased
Why JBS
Experience building research-grade AI that meets accuracy and attribution standards
Strong capability in semantic retrieval architecture for specialized domain knowledge
Focus on practical usability ensuring researchers adopt new tools rather than revert to old workflows
Research & Knowledge Services AI capability at enterprise scale
JBS approaches this use case as a production-grade operating capability, aligning AI engineering, workflow design, governance, and measurable business outcomes.
How the solution works
The solution combines domain context, automation, quality review, and integration into operational workflows so teams can move faster without losing control.
Frequently asked questions
How does this AI solution work?
It maps the business workflow, identifies repeatable decision points, and applies AI where it improves speed, quality, consistency, or scale.