Driving 70% More Accurate Discovery and 3x Reach for 10,000+ Titles With a Tailored AI Platform for a Global Publisher

The customer is a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement. With increasing demand for intelligent and conversational search experiences, the publisher aimed to build an AI-powered platform that could improve content discoverability, enhance accuracy, and expand the reach of its research assets across emerging AI ecosystems.

Impelsys enabled the development of an AI platform that supports intelligent discovery across 10,000+ titles. Built using Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP), the platform allows approved AI assistants to securely access, interpret, and recommend trusted content. The solution improves search relevance and creates a more interactive user experience. It also establishes secure retrieval and agent interfaces that enable AI-driven discovery, citation, and recommendation while maintaining governance and access controls.
A globally distributed engineering model, with teams across Portugal, Brazil, Colombia, and India, supports the publisher’s IT operations and digital ecosystem, ensuring continuity, scalability, and alignment with its technology landscape.

The platform significantly enhanced content discovery and engagement, enabling up to 3x increase in reach across research assets and delivering up to 70% improvement in search accuracy. It improved user interaction while positioning the publisher to extend its content into the AI ecosystem. The initiative also created new opportunities to package and deliver trusted research as monetizable AI-ready knowledge services.