The Challenge
VBOUT’s old chatbot could not keep up. It had limited scalability, weak memory of context, narrow language reach, and rising costs. These problems blocked the engagement goals of its marketing platform.
Our Solution
LAUIH designed a next-generation AI chatbot architecture for many channels. It uses generative AI, vector retrieval, and retrieval-augmented generation. It adds real-time data intake and language processing in over 60 languages. It also adds serverless infrastructure and end-to-end encryption. It explains its answers with source citations.
The Results
VBOUT received a validated chatbot architecture and roadmap. A survey of 112 participants showed that 74% wanted real-time updates. In the same survey, 68% reported better relevance. The design improves scalability, retrieval accuracy, language reach, security, and user experience.
Key Metrics
How we deliver projects like this
LAU Industrial Hub projects are delivered by on-demand multidisciplinary teams of faculty leads, alumni seniors, and student contributors, assembled to fit each project. Work runs as a fixed-scope or milestone-based engagement under NDA-first controls, and partners keep full intellectual property on deliverables. To explore a similar project, book a call or send us a message and we will respond within five business days.
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Book a call →By the LAU Industrial Hub team · Last updated