Elicit
Searches 138M papers, extracts data into tables
Research assistant over 138M+ academic papers: find studies, screen abstracts, and extract fields into structured tables for systematic reviews. Free tier with one-time credits; Plus from $12/mo; team plans for research orgs.
What it does
Elicit applies language models to the grind of evidence synthesis: search across more than 138 million papers, screen abstracts against inclusion criteria, and extract fields — sample size, methods, outcomes — into structured tables you can export.
It supports PRISMA-compliant systematic review workflows, which is the difference between a search toy and a tool a research team can defend in peer review.
The free Basic tier includes unlimited search and summaries with a one-time credit grant; Plus runs about $12/user/mo, with Pro and Team tiers ($49 and $79) adding high-accuracy modes and collaboration. Annual billing discounts apply.
AI stack
LLM pipelines over open academic corpora, including Semantic Scholar data.
From the AXIS Launch team
Structured extraction into tables is the feature that saves researchers actual weeks — search alone was never the bottleneck. If you're the maker: what error rate does the extraction hit on reported effect sizes, and how should a systematic-review team spot-check it?
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