Elicit
AI research assistant trained on 200M+ papers — automates literature reviews, data extraction, and evidence synthesis.
AI research assistant trained on 200M+ papers — automates literature reviews, data extraction, and evidence synthesis.
Elicit is designed for serious academic and scientific research. Where general AI assistants sometimes hallucinate citations, Elicit retrieves real papers from its database of 200+ million academic papers and extracts specific data points with precision.
Free tier gives 5,000 credits per month. Plus ($10/mo) gives 12,000 credits. Pro ($42/mo) gives 50,000 credits for intensive literature reviews.
Core workflow: enter a research question, and Elicit finds the most relevant papers, extracts key information (study design, sample size, findings, limitations) into a structured table, and synthesises findings across sources. A literature review that would take a PhD student two weeks can be completed in hours.
Pros: Genuine academic paper database (no hallucinations), structured data extraction, excellent for systematic reviews, honest about uncertainty.
Cons: Requires research context to use well, limited to academic papers, credits run out on large reviews.
Best for: Academic researchers, medical professionals, policy analysts, PhD students, and anyone conducting evidence-based research who needs reliable literature synthesis.