About
Elicit is an AI-powered research platform designed to help scientists, academics, and industry researchers work more efficiently with the scientific literature. It indexes over 138 million academic papers and 545,000 clinical trials and exposes them through a semantic search engine that finds relevant results even without exact keyword matches. Beyond search, Elicit generates comprehensive research reports inspired by systematic review methodology. These reports are deeply customizable—users can control which papers are included and what information is highlighted—and every AI-generated claim is backed by sentence-level citations from the source documents, ensuring full transparency. For large-scale reviews, Elicit automates the screening and data extraction stages of systematic literature reviews, with researchers reporting up to 80% time savings. The platform can analyze up to 20,000 data points across up to 1,000 papers in a single workflow, going well beyond what chat-based AI tools can handle. Additional features include a personal Research Library for storing and organizing discovered papers across projects, and Research Alerts that notify users of newly published work matching their interests without inbox clutter. Rich, interactive data tables and multi-step workflows make Elicit a structured research environment rather than a simple question-answering chatbot. Elicit is built for academic researchers conducting literature reviews or meta-analyses, graduate students, and R&D professionals in industry who need evidence-based insights quickly and reliably.
Key Features
- Semantic Paper Search: Search over 138 million academic papers and 545,000 clinical trials using semantic understanding, so relevant results surface even without knowing the exact right keywords.
- AI Research Reports: Generate high-quality, deeply customizable research briefs modeled on systematic review methodology, with every claim supported by sentence-level citations from source papers.
- Systematic Literature Review Automation: Automate the screening and data extraction phases of systematic reviews. Researchers report up to 80% time savings compared to manual review processes.
- Large-Scale Data Extraction: Analyze up to 20,000 data points across 1,000 papers in a single workflow, with results presented in rich, interactive tables for easy comparison.
- Research Alerts & Library: Store and organize discovered papers in a personal library, and set up alerts to be notified of new publications matching your research interests.
Use Cases
- Conducting systematic literature reviews for academic publications by automating paper screening and structured data extraction.
- Quickly synthesizing the current state of research on a new topic before designing a study or writing a grant proposal.
- Extracting and comparing specific data points (e.g., sample sizes, methodologies, outcomes) across hundreds of papers for a meta-analysis.
- Staying current with rapidly evolving research fields using automated alerts for newly published papers matching specific criteria.
- Supporting evidence-based decision making in industry R&D by rapidly surfacing and summarizing the most relevant scientific literature.
Pros
- Massive, Up-to-Date Database: With 138M+ papers and 545K+ clinical trials indexed, Elicit provides one of the broadest academic search corpora available in any AI research tool.
- Transparent, Citation-Backed Answers: Every AI-generated claim is linked to specific sentences in the source documents, making it easy to verify accuracy and build trust in the outputs.
- Dramatic Time Savings: Automating screening and data extraction for systematic reviews can save researchers up to 80% of the time typically spent on manual literature review.
- Structured Workflows Beyond Chat: Interactive tables, multi-step workflows, and customizable reports go far beyond what a standard AI chatbot can offer for complex research tasks.
Cons
- Academic-Focused Scope: Elicit is optimized for scientific and academic literature; it is less suited for business intelligence, news monitoring, or non-academic research tasks.
- Advanced Features Require Paid Plans: Large-scale data extraction, unlimited searches, and full systematic review automation are gated behind paid subscription tiers.
- AI Accuracy Still Requires Human Verification: Despite high accuracy benchmarks, AI-generated summaries and extracted data points should still be spot-checked by domain experts before being used in publications.
Frequently Asked Questions
Elicit is an AI research assistant that uses large language models and semantic search to help you find, read, and synthesize academic papers. You enter a research question, and Elicit searches its database of 138M+ papers, extracts relevant information, and generates a cited research report or interactive data table.
Elicit searches over 138 million academic papers and 545,000 clinical trials, with additional data sources being added over time.
Elicit offers a freemium model with a free tier that supports basic searches and limited report generation. Advanced features such as large-scale data extraction and full systematic review automation require a paid subscription.
Elicit claims to be the most accurate AI product for scientific research, with validated accuracy benchmarks and a transparency-first approach that backs every AI-generated claim with sentence-level citations from source documents.
Yes. Elicit can automate the screening and data extraction phases of systematic literature reviews. Researchers report up to 80% time savings when using Elicit for this workflow compared to fully manual methods.
