Elicit is an AI research assistant designed to accelerate academic and scientific research workflows. It enables users to search across a large corpus of research papers, extract key findings, summarize abstracts, and synthesize information across multiple studies. Researchers can upload their own PDFs or search Elicit's indexed database of papers to identify relevant literature quickly. The platform supports tasks such as literature reviews, data extraction from papers, and concept mapping across studies. Elicit uses large language models to surface relevant papers even when exact keyword matches are absent, and it can extract structured data from papers into tables for comparison. It is used by researchers in academia, policy, and industry to reduce the manual effort involved in reviewing scientific literature. The tool is particularly oriented toward systematic and semi-systematic literature reviews, helping users organize findings and identify research gaps more efficiently.
Target audience and deployment
- Solo / Freelancer
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
Key features
Use cases
- Conduct literature reviews
- Extract structured data from papers
- Summarize research papers
- Identify research gaps
- Automate systematic review workflows
Best for
- Academic researchers who need to conduct thorough literature reviews efficiently
- Scientists who need to extract and compare data across large sets of papers
- Policy analysts who need to synthesize evidence from scientific literature
- Graduate students who need to identify and organize relevant research quickly