Elicit is an AI-powered research assistant designed to help researchers, academics, and professionals find, analyze, and synthesize information from academic papers and scientific literature. Developed by Ought, a nonprofit machine learning research lab focused on improving reasoning, Elicit uses large language models to automate and accelerate key parts of the research workflow. Users can ask research questions in natural language, and Elicit searches across a database of over 200 million academic papers to identify the most relevant studies, extracting key findings, methodologies, sample sizes, outcomes, and other critical details from each paper. The platform's core functionality includes semantic search that understands the meaning behind research queries rather than relying solely on keyword matching, automated paper summarization that distills key findings from abstracts and full texts, and structured data extraction that pulls specific information points from multiple papers into organized tables for comparison. Elicit can help researchers identify research gaps, find supporting or contradicting evidence for hypotheses, and systematically review literature across a body of work. The platform supports filtering results by study type, publication date, citation count, and other metadata. Elicit also offers brainstorming tools that help users refine research questions and identify related concepts and search terms. The tool is particularly valued in fields including medicine, social science, psychology, economics, and other evidence-based disciplines where systematic literature review is essential. The platform offers a free tier with limited searches and extractions per month. Elicit Plus is available at $10 per month and provides increased usage limits, and Elicit Enterprise offers custom pricing for institutional and team deployments with additional features and support.
elicit.com →