Elicit
NewAI research assistant that automates literature review by finding, summarizing, and extracting data from papers.
About Elicit
Elicit is an AI-powered research assistant built by Ought that automates key parts of the literature review process, helping researchers find relevant papers, extract structured data from study designs, summarize findings, and organize evidence across dozens or hundreds of papers simultaneously. Its AI can identify papers most relevant to a research question from a database of 125 million papers, extract specific columns of data from each paper (such as sample size, methodology, outcome measures, and effect sizes), and synthesize findings across multiple studies. Elicit is particularly valuable for systematic reviews, meta-analyses, and evidence synthesis projects where manually screening and extracting data from hundreds of papers would take weeks. It is used by researchers, clinicians, policy analysts, and R&D teams in pharmaceutical, biotech, and academic settings.
Pros
- Automated data extraction from papers saves weeks of manual literature review
- 125 million paper database provides comprehensive academic coverage
- Structured comparison tables make systematic review analysis efficient
Cons
- Free tier limits are restrictive for serious research workflows
- Data extraction accuracy requires human verification for critical research
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