Elsevier announces next-generation AI-powered researcher solution

Driven by customer feedback, new comprehensive AI solution will provide a next-level experience combining latest technology with unmatched content depth, breadth and quality to accelerate breakthroughs, improve impact and productivity

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New Delhi: Elsevier, a global leader in advanced information and decision support in science and healthcare, has announced 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 aims to transform the research workflow – helping scientists move faster from insights to impact while safeguarding research integrity, transparency and trust.
The new Elsevier AI solution will empower researchers to identify emerging areas of inquiry and funding opportunities, uncover knowledge gaps, synthesize literature rapidly, connect with collaborators and accelerate productivity. The solution builds on the success of ScienceDirect AI and Scopus AI, and represents a step-change for AI solutions that support the global research community.
Generic AI tools can fall short of helping researchers focus on original impactful thinking, as they rely on limited academic literature, low-quality data and offer little transparency about how conclusions are reached. Elsevier’s comprehensive AI solution will be designed to address these challenges head-on with a fundamentally different approach.
What will set the new solution for researchers apart is its ability to bring together multiple capabilities in one seamless assistant—helping users brainstorm ideas, plan projects, review literature, find collaborators, and discover funding opportunities within a single space powered by AI. It introduces Trust Cards, which show how evidence was used or inferred, highlight confidence levels, and provide risk assessments for potential inaccuracies. Only certified content is made accessible, offering comprehensive, peer-reviewed, cross-publisher academic material. The solution also leverages curated datasets, with answers powered by publisher-neutral resources such as Scopus abstracts and funding data. Researchers can further enrich the platform by adding their own content to supplement what is already included.
Privacy and security are built in, with enterprise-grade safeguards aligned with Elsevier’s Privacy Principles to protect personal data. Finally, publisher-neutral algorithms will be overseen by an independent Advisory Board to ensure that results are prioritized and ranked transparently, responsibly, and without bias.
Elsevier’s new AI solution will be built on millions of peer-reviewed articles and book chapters from the world’s leading academic publishers. The new solution will be publisher-neutral and include subscription and Open Access content, giving researchers unprecedented depth and coverage. The solution will include ScienceDirect’s trusted content, combined with comprehensive data and analytics from Scopus’ 100+ million interconnected records.
Judy Verses, Elsevier President of Academic and Government Markets, said: “Working together with the research community, our goal is to help researchers seamlessly carry out multiple tasks with confidence to accelerate breakthroughs, boost collaboration, improve impact and productivity.  By combining a powerful AI assistant with high-quality peer-reviewed literature from across publishers, we aim to create a next-level experience for impact makers who are advancing human progress.”
Professor Minoru Terano, President of the Japan Advanced Institute of Science and Technology (JAIST), said: “At JAIST, researchers are engaged in the latest research to address the world’s big challenges. Emerging AI tools will play an increasingly important role in this mission, supporting – not replacing -original human thinking and creativity. In partnership with Elsevier, JAIST is committed to developing new tools built on trusted research and responsible AI, ensuring progress that drives academic excellence and societal impact.”
The solution will be built on Elsevier’s Responsible AI Principles, which prioritize transparency, real-world impact and human oversight. This means every interaction is designed to augment human expertise rather than replace it, with clear explanations of how conclusions are reached and full control remains with the researcher.
The new solution will benefit from technologies such as agentic AI, generative AI, reasoning engines and retrieval augmented generation, combined with Elsevier’s decade long experience in developing AI solutions together with its customers.