LeapSpace launches to advance trusted AI-driven scientific research
Elsevier has introduced LeapSpace, a research platform designed to help users investigate scientific topics, evaluate evidence, and identify subject matter experts. The platform uses artificial intelligence to analyse a large volume of peer-reviewed scientific literature and offers a range of tools to assist research and development professionals in managing complex information.
Content sources
LeapSpace accesses over 100 million peer-reviewed articles from more than 7,000 publishers. This includes content from Elsevier as well as other scientific publishers and societies. The system is not restricted to Elsevier's own resources, which distinguishes it from some previous AI tools in the sector.
Users can also upload their own materials for analysis. The goal is to create a single environment where research tasks-from literature review to hypothesis generation and collaboration-can be performed seamlessly. According to company data, the platform is intended to provide a curated dataset for users who require transparency around the origins and reliability of any AI-generated output.
Trust features
LeapSpace integrates features such as 'Trust Cards', designed to document the provenance and strength of evidence for AI-generated insights. Each result displays its source, reasons for citation, and tensions or contradictions within the literature. The company states that transparency, explainability, and human oversight are core to how the platform operates. An independent advisory board will oversee transparency and ensure publisher-neutrality of the algorithms involved.
Key efficiency tools include Reading Assistant, Compare, and Author Search. These allow users to rapidly evaluate material, search for collaborators, and examine specific claims with access to structured citations. A funding discovery tool is also included, listing over 45,000 active grants worth more than USD $100 billion from Elsevier's Funding Institutional database.
Adoption challenges
According to recent survey data cited by the company, 84% of researchers have used AI tools in their work, but only 22% report trust in existing solutions. Concerns over data provenance, reliability of AI-generated evidence, and privacy are common. LeapSpace is positioned to address these by combining data from certified, peer-reviewed sources with AI technologies that emphasise transparency and privacy. The company emphasises that the product is built with enterprise-grade security and privacy features, in line with its stated principles.
User input
Development reportedly included feedback from thousands of researchers across more than 300 institutions in 64 countries. Early users have cited improvements in research efficiency and analysis. The platform is designed to support a range of research activities, including generating ideas, evaluating funding opportunities, and facilitating collaboration across different disciplines.
"LeapSpace enables researchers to move from curiosity to discovery without leaving trusted ground. By combining an unparalleled body of peer-reviewed research with responsible AI, we're supporting the research community to build on the strongest foundations of trusted knowledge to advance human progress," said Judy Verses, President, Academic and Government, Elsevier.
Research applications
Initial use cases include rare disease research, where limited direct evidence and small expert communities can impede progress. The platform's ability to synthesise large, disparate bodies of information is intended to address such challenges by helping users bridge gaps in data and identify cross-disciplinary insights.
"Rare disease research is limited by the small number of experts focused on each disease, Sanfilippo syndrome being no exception. We rely on connections and learnings across multiple disciplines to bridge gaps in direct evidence. Synthesizing vast amounts of often disparate information is a challenge. In my early experience with LeapSpace, I've been impressed with how it's able to address these challenges while providing confidence in the accuracy and rigor of its outputs," said Cara O'Neill, Chief Science Officer, Cure Sanfilippo Foundation.
LeapSpace integrates agentic AI, reasoning engines, generative AI, and retrieval-augmented generation, supporting critical analysis and structured research design. The platform is now available for institutional preview, with commercial availability planned for 2026.
