Embase AI

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What Embase AI is

Embase AI is Elsevier’s natural-language search tool for finding biomedical literature. Its database contains 47 million records, and it summarizes findings from the 30 most relevant peer-reviewed articles for a search. Users can filter by publication year, publication type, or study type, and expand searches to include preprints, conference abstracts, ClinicalTrials.gov studies, and articles in press or in process. Summaries link to relevant articles; references are ranked first through term-based retrieval and then neural semantic ranking. Users can inspect the Embase query generated by the AI, open results in Embase to refine it, or copy the query. 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. The product is presented for biomedical research, with users in pharma, medtech, universities, and libraries represented in testimonials. It is paid, has a three-day trial, and has no listed price. Prospective customers can request a demo. It is available on Android, iOS, macOS, web, and Windows.

Who it suits

Embase AI is aimed at people conducting biomedical research, including users in pharma, medtech, universities, and libraries. Its filters, query inspection, and session export suit researchers who need to refine searches and keep a record of them.

What it does well

Searches a database with 47 million records
Summarizes 30 relevant peer-reviewed articles
Offers filters for publication and study type
Displays AI-generated Embase queries
Supports follow-up questions and session export

What to know first

No free plan
Trial lasts three days

Plans

Plan	Billed and limits	Price
Embase AI access	Request a demo; pricing not stated	On request

As elsevier.com lists them, read 7 Oct 2026. The maker's own page has the final word.

Verdict

Embase AI combines natural-language searching with filters, linked article summaries, and visible queries. A three-day trial is available, while pricing requires a demo request.

Facts from Embase AI's own pages

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. · elsevier.com, 7 Oct 2026
Availability: Elsevier invites prospective customers to request a demo and says its team will schedule one and answer questions about Embase AI. · elsevier.com, 7 Oct 2026
Citations: Summaries link to relevant articles, and references are ranked using term-based retrieval followed by neural semantic ranking. · elsevier.com, 7 Oct 2026
Database: The product page says Embase contains 47 million high-quality records. · elsevier.com, 7 Oct 2026
Expanded search: Users can expand searches to include preprints, conference abstracts, ClinicalTrials.gov studies, and articles in press or in process. · elsevier.com, 7 Oct 2026
Founded: 1880 · elsevier.com, 28 Sept 2026
Headquarters: Amsterdam, Netherlands · elsevier.com, 28 Sept 2026
Intended users: Elsevier presents Embase AI for biomedical research and features testimonials from users in pharma, medtech, universities and libraries. · elsevier.com, 7 Oct 2026
Privacy: Elsevier says Embase AI does not allow information to be stored in the LLM or used for training purposes. · elsevier.com, 7 Oct 2026
Purpose: Embase AI uses natural-language search to help users find relevant biomedical literature. · elsevier.com, 7 Oct 2026
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. · elsevier.com, 7 Oct 2026
Session tools: Users can ask follow-up questions and export a session to maintain records. · elsevier.com, 7 Oct 2026
Support: Elsevier’s Embase resources page links to an Embase Support Center and an Embase AI use cases and prompt guide. · elsevier.com, 7 Oct 2026

Where Embase AI stands on Freedom251

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