Elicit
AI research assistant for scientific literature review
About
Elicit is an AI-powered research assistant that helps researchers analyze scientific papers at scale. Built for systematic reviews and evidence synthesis, Elicit searches across more than 138 million academic papers and uses language models to extract key findings, summarize results, and organize data into structured tables. Researchers can chat with papers, run automated reports that pull from hundreds of data sources, set up personalized research alerts, and import libraries from Zotero. The platform supports custom extractions from uploaded papers, figure interpretation, and real-time team collaboration. With an estimated $18M+ in annual recurring revenue, Elicit has become a go-to tool for academics, biotech firms, and policy organizations who need to process large volumes of literature without sacrificing rigor.
Features
- •Search across 138+ million academic papers
- •AI-powered systematic review workflow screening up to 5,000 papers
- •Automated reports extracting from up to 200 data sources
- •Chat with papers using full-text access
- •Custom data extraction from uploaded papers with column-based tables
- •Figure interpretation from research papers
- •Real-time collaboration and team editing
- •Personalized research alerts and subscriptions
- •Zotero library import
- •API access for programmatic integration
Use Cases
- •Researchers conducting systematic literature reviews across thousands of papers
- •Biotech teams synthesizing clinical trial data and evidence
- •Policy analysts extracting findings from large bodies of research
- •Graduate students accelerating thesis literature reviews
- •R&D teams monitoring new publications with automated alerts
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