AI research assistant that automates literature review by finding, summarizing, and extracting data from papers.
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.
Synthesis is an AI-powered math and critical thinking learning platform originally developed for SpaceX employees' children that is now available to all student
AI-powered academic search engine from the Allen Institute with semantic understanding of scientific literature.
Free AI-powered academic search engine indexing 200M+ papers with semantic understanding of scientific content.