Elicit

Elicit is an AI research platform built specifically for scientific literature review, capable of analyzing hundreds of academic papers simultaneously and synthesizing their findings into structured comparison tables. Developed by Ought, a non-profit AI safety organization, it is designed to make evidence synthesis — the kind of rigorous, multi-paper analysis required for systematic reviews, meta-analyses, and evidence-based decision-making — orders of magnitude faster.

The core workflow starts with a research question: "Does magnesium supplementation improve sleep quality?" Elicit automatically searches PubMed and Semantic Scholar, retrieves relevant papers, and then uses AI to extract structured data from each paper into columns you define: study design, sample size, intervention, outcome measures, key findings, and limitations. The result is a populated research table that would take a human researcher days to compile manually.

The platform also generates narrative summaries that synthesize findings across all analyzed papers, identifying areas of consensus, conflicting results, and gaps in the existing literature. The free tier limits analysis to 5 papers per query. Elicit Plus ($10/month) allows unlimited papers per query, access to more detailed extraction columns, and the ability to export findings to CSV or Notion. Elicit is used by academic researchers, evidence-based medicine practitioners, policy analysts, and investment teams conducting deep research on specific scientific questions.