Embase AI
elsevier.com
What it is
Embase AI is Elsevier’s natural-language search tool for biomedical literature. It searches Embase, which the product page says contains 47 million records, and summarizes findings from the 30 most relevant peer-reviewed articles. Users can filter by publication year, publication type and study type, or extend searches to preprints, conference abstracts, ClinicalTrials.gov studies, and articles in press or in process. Summaries link to relevant articles, with references ranked through term-based retrieval and then neural semantic ranking. Users can inspect the AI-generated Embase query, refine it by opening results in Embase, or copy the query text. Follow-up questions and session export support continued searching and record keeping. Elsevier says information is not stored in the LLM or used for training. It presents the product for biomedical research, including users in pharma, medtech, universities and libraries. Embase AI is paid, has a three-day trial, and lists no price; prospective customers can request a demo. It is available on Android, iOS, macOS, web and Windows.
Spec sheet
- Purpose
- Embase AI uses natural-language search to help users find relevant biomedical literature.Read 7 Oct 2026 · elsevier.com
- Intended users
- Elsevier presents Embase AI for biomedical research and features testimonials from users in pharma, medtech, universities and libraries.Read 7 Oct 2026 · elsevier.com
- Privacy
- Elsevier says Embase AI does not allow information to be stored in the LLM or used for training purposes.Read 7 Oct 2026 · elsevier.com
- Support
- Elsevier’s Embase resources page links to an Embase Support Center and an Embase AI use cases and prompt guide.Read 7 Oct 2026 · elsevier.com
- Headquarters
- Amsterdam, NetherlandsRead 28 Sep 2026 · elsevier.com
- Founded
- 1880Read 28 Sep 2026 · elsevier.com
- Answers
- It summarizes findings from the top 30 most relevant peer-reviewed articles and lets users filter by publication year, publication type and study type.Read 7 Oct 2026 · elsevier.com
- Availability
- Elsevier invites prospective customers to request a demo and says its team will schedule one and answer questions about Embase AI.Read 7 Oct 2026 · elsevier.com
- Citations
- Summaries link to relevant articles, and references are ranked using term-based retrieval followed by neural semantic ranking.Read 7 Oct 2026 · elsevier.com
- Database
- The product page says Embase contains 47 million high-quality records.Read 7 Oct 2026 · elsevier.com
- Expanded search
- Users can expand searches to include preprints, conference abstracts, ClinicalTrials.gov studies, and articles in press or in process.Read 7 Oct 2026 · elsevier.com
- Search transparency
- Users can view the Embase query generated by the AI, open results in Embase to refine the query, or copy the query string.Read 7 Oct 2026 · elsevier.com
- Session tools
- Users can ask follow-up questions and export a session to maintain records.Read 7 Oct 2026 · elsevier.com
Plans and prices
Strong points and limits
Strong points
- Searches a database described as 47 million records.
- Filters by publication and study type.
- Shows the generated Embase query for review.
- Sessions can be exported.
Limits
- No free plan is listed.
- The trial lasts three days.
Who it suits
Embase AI is for biomedical researchers who need to search literature and review linked sources. The listed audience includes people in pharma, medtech, universities and libraries.
Verdict
Embase AI combines natural-language searching with linked summaries, filters and query transparency. It is a paid research product with a short trial and demo-based access inquiries.
Where Specifiction places it
- AI Search Engines#18 of 287.6