Elsevier has announced that it is developing a next-generation end-to-end AI-powered solution for academic and corporate researchers in collaboration with the research community. The solution is intended to transform the research workflow by helping scientists move more quickly from insights to impact while safeguarding research integrity, transparency, and trust. The effort is described as being driven by customer feedback and designed to combine recent AI technologies with the depth, breadth, and quality of Elsevier-curated content to support breakthroughs, impact, and productivity.
According to Elsevier, the forthcoming solution is intended to help users identify emerging areas of inquiry and funding opportunities, reveal knowledge gaps, synthesize literature rapidly, connect with collaborators, and accelerate routine tasks. It builds on ScienceDirect AI and Scopus AI and is framed as a step-change in AI tools for the global research community.
Elsevier stated that generic AI tools may rely on limited academic literature, low-quality data, and opaque methods, and therefore can fall short for original scholarly work. The company said its approach is designed to address these issues directly. Features described include a single assistant for brainstorming, project planning, literature review, collaborator discovery, and funding searches within one environment; “Trust Cards” that indicate how evidence was used or inferred, provide confidence levels, and flag risks of potential inaccuracies; access to certified, peer-reviewed, cross-publisher academic content; and answers powered by publisher-neutral datasets such as Scopus abstracts and funding data.
Users will be able to add their own content to supplement what is already included. Elsevier added that the system will incorporate enterprise-grade security and will be developed in line with its Privacy Principles. The company also plans publisher-neutral algorithms overseen by an independent advisory board to ensure results are prioritized and ranked based on quality in a transparent, unbiased, and responsible manner.
Elsevier’s new AI solution is to be built on millions of peer-reviewed articles and book chapters from academic publishers and will be publisher-neutral, covering both subscription and open access content. The solution will include ScienceDirect content combined with comprehensive data and analytics from Scopus, which comprises more than 100 million interconnected records.
Judy Verses, president of Elsevier’s Academic and Government Markets, outlined goals to enable researchers to carry out multiple tasks with confidence—accelerating breakthroughs, strengthening collaboration, and improving impact and productivity—through a solution developed with the research community. The approach integrates an AI assistant with peer-reviewed literature from across publishers to support research workflows and is intended to aid researchers working to advance human progress.
The solution will be developed in accordance with its Responsible AI Principles, which emphasize transparency, real-world impact, and human oversight. The company stated that interactions are intended to augment human expertise, provide clear explanations of how conclusions are reached, and preserve researcher control.
On the roadmap, Elsevier reported that it is working with publishers to deliver a publisher-neutral solution that includes subscription and open access full-text content so that critical evidence is not missed, and that new forms of algorithmic transparency and certification will be introduced to deepen user trust. A closed beta version was launched on the day of the announcement with hundreds of invited researchers, and ScienceDirect AI customers will be able to participate in testing through year end. Elsevier AI solution will be available for purchase in the first quarter of 2026 and existing ScienceDirect AI customers will receive access as part of their subscriptions.
The company stated that the system will draw on agentic AI, generative AI, reasoning engines, and retrieval-augmented generation, combined with Elsevier’s decade of experience developing AI solutions with customers.
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