YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

LeapSpace^™, Elsevier’s research-grade, AI-assisted workspace, has gone live and is available to customers. The workspace is built on a comprehensive collection of scientific content and is designed for academic and corporate researchers operating within a secure environment. It combines multi-model responsible AI with transparency features, trust markers, and industrial-grade data privacy and security so that every output is explainable, traceable, and grounded in scientific sources.

Elsevier has brought together selected content from publishers and scholarly societies to support access to a broad collection of peer-reviewed science. This publisher-neutral approach allows LeapSpace to draw from a growing body of trusted content and data.

• New licensing agreements have been signed with Emerald Publishing, IOP Publishing, NEJM Group, and Sage, with additional publishers set to join in the coming months. The solution displays fully referenced article extracts in its responses and links to articles hosted on publisher platforms.

• More than 18 million peer-reviewed articles and books from Elsevier are included, along with licensed subscription and open access articles from other publishers and societies.

• Research abstracts from Scopus are included, comprising more than 100 million records from over 7,000 publishers.

LeapSpace is built on Elsevier’s experience in combining scientific information and data sets with technology. By integrating AI with structured, enriched, verified, and linked data, the workspace produces results that are grounded in referenced sources.

LeapSpace places researchers in control by providing full context and transparency for every result and displaying, in real time, the steps used to generate each response to enable ongoing human validation. All outputs are referenced and can be traced back to original sources to establish provenance. Trust Cards explain why specific sources were cited and highlight contradictions to support evaluation of evidence strength.

Researchers report that LeapSpace supports critical thinking, saves time, improves research design, strengthens collaboration, uncovers insights, and deepens analysis. It uses a multi-model AI approach that selects models based on task requirements to support flexibility as AI technologies evolve. The workspace is built on enterprise-grade data protection and security. Use of third-party large language models is private, with no information stored or used to train public models, and all data retained in a protected environment. Elsevier applies its Privacy Principles to responsible AI use and data privacy across its AI solutions.