Summary
AI for systematic literature review — search 125 million papers, extract data into tables, and screen at scale.
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Description
Elicit is a research assistant built for the actual workflow of a literature review rather than for casual question answering. Ask a research question and it finds relevant papers, then extracts structured information from each into a comparison table.
What it does
- Semantic paper search across more than 125 million academic papers, matching on meaning rather than keyword
- Data extraction into tables. Define columns — sample size, intervention, outcome, effect size, limitations — and Elicit fills them for every paper, with each cell linked to the passage it came from.
- Screening at scale. Apply inclusion and exclusion criteria across thousands of abstracts, which is the part of a systematic review that consumes weeks.
- Systematic review workflows aligned with PRISMA, including the reporting artefacts.
- Summaries of individual papers and of the set as a whole, always with citations.
Why researchers trust it
Every claim links to its source, so verification is a click rather than an act of faith. Elicit publishes evaluations of its own accuracy, which is more than most tools in this space do.
Free tier for basic search and extraction; paid plans add higher volumes, full systematic review features, and team collaboration.
Reviews
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