An AI research assistant that searches, summarizes, and organizes academic papers for faster literature reviews.
Updated 2 years ago · vnull
Elicit est un recherche en IA assistant that helps scientists and academics search, summarize, and organize academic papers. It uses recherche sémantique to find relevant studies from over 138 million papers and 545,000 clinical trials, then generates structured reports with citations. Researchers use it to speed up literature reviews and systematic reviews, claiming up to 80% time savings on screening and extraction de données.
Elicit is an AI research assistant designed for scientists, academics, and anyone who needs to navigate the vast world of academic literature. Instead of typing keywords into Google Scholar and manually reading dozens of abstracts, you can ask Elicit a research question and it will search over 138 million papers and 545,000 clinical trials. It then presents the most relevant results in a structured table with summaries and citations. The semantic search is a standout feature because you don't need to know the exact jargon to find what you need.
The tool is especially useful for systematic literature reviews, where it can automate the screening and data extraction phases. Users report saving up to 80% of the time normally spent on these tasks. Elicit also generates research reports that are customizable, so you can choose which papers and what information to include. The reports come with sentence-level citations, which is important for trust and reproducibility.
Pricing follows a freemium model. The free tier gives you basic search and limited reports, which is enough to test the tool. Paid plans start at $12 per month for more searches and longer reports. For heavy users, there is a Pro plan at $49 per month and enterprise options for institutions. The main downside is that the free tier is fairly restrictive, and the report customization options can feel overwhelming at first. But for researchers who regularly deal with literature, Elicit is a practical time-saver.
Finds relevant papers by understanding the meaning of your question, not just matching keywords.
Generates structured research briefs with citations that you can customize by selecting papers and data points.
Automates screening and data extraction for systematic reviews, saving up to 80% of manual work.
Saves and organizes sources into collections so you can reuse them across different projects.
Notifies you about new research in your field without cluttering your email inbox.
Search papers and generate reports programmatically using the Elicit API.
Elicit uses semantic search to understand the meaning of your query, not just match keywords. This means you can type a research question like 'Does theanine improve cognitive function?' and it will find relevant papers even if they use different terminology.
Yes. Elicit automates the screening and data extraction phases of systematic reviews. Users report saving up to 80% of the time normally spent on these tasks. It also supports PRISMA 2020 guidelines for reproducibility.
Elicit searches over 138 million academic papers and 545,000 clinical trials. The team says more data sources are coming soon. It covers most major scientific databases.
Yes. Every AI-generated claim in Elicit reports includes sentence-level citations from the underlying sources. This makes it easy to verify the accuracy of the information.
Yes. Elicit has a free tier that lets you search papers and generate a limited number of reports. Paid plans starting at $12 per month unlock more searches, longer reports, and Journalisation et événement accès.
Elicit introduced a paid tier with higher usage limits and priority features, moving from a fully free model to a freemium structure.
Elicit released a public API, allowing developers to integrate its research search and summarization features into other applications.
Elicit added support for extracting data from tables and figures within papers, expanding its analysis capabilities.
Elicit upgraded its underlying language model to provide more accurate and context-aware summaries of research papers.
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