AI academic research assistant
Elicit is an AI research assistant that searches, summarizes, extracts data from, and enables chat with 138M+ academic papers. Built for systematic reviews, literature searches, and evidence synthesis, it goes beyond citation search by extracting structured data into tables, running PRISMA-grade screening workflows, and generating research reports with source attribution. Used by 2M+ researchers in academia, pharma, medtech, and CPG.
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Overall market reception: Gold standard for AI-assisted systematic reviews; frequently recommended over ChatGPT for research. Common praise: Extraction table depth, PRISMA workflows, generous free search tier, source attribution. Common criticisms: Steep Pro price ($49/mo); Scale needed for teams; AI extraction requires human verification. Ratings: 2M+ users; strong in academic Twitter and research communities; positive G2 presence.
In-depth description and capability notes.
Paper search — Semantic search across 138M+ papers with advanced filters. Research reports — Automated synthesis extracting data from up to 135–200 sources. Systematic review workflow — Screen up to 5,000 papers (Pro) or 40,000 (Enterprise). Data extraction tables — Add 20–40 columns; custom extractions from uploaded PDFs. Chat with papers — Q&A against full-text papers with source citations. Research alerts — Personalized paper notifications (10 on Pro, unlimited Enterprise). Figure extraction — Interpret charts and figures in papers (Scale+). API access — Pro gets API; Enterprise gets unlimited API.
Elicit fits researchers, clinicians, and R&D teams conducting literature reviews, evidence synthesis, and academic writing faster than manual PubMed workflows. Systematic literature reviews and meta-analyses PhD dissertation source gathering and synthesis Pharma/medtech regulatory evidence compilation Clinical question lookup with cited papers Research report generation for consulting and policy Team collaboration on shared literature projects (Scale)