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AI tool that summarizes scientific papers into abstract, methods, results, and conclusion sections, with figure and citation support.
Free-first literature discovery tool that visually maps citation networks and related papers to speed up systematic reviews.
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
AI research platform for literature reviews, paper Q&A and daily digests, built for academics wanting cited answers.
Free trial available
No public pricing
No public pricing
- ✦Structured section-by-section paper summarization
- ✦Bulk and multi-paper summarization and comparison
- ✦Chat with figures for data interpretation
- ✦Folder and tag-based library organization
- ✦Semantic search across indexed documents on Pro
- ✦ChatGPT connector integration
- ✦Citation and author network exploration from a seed paper
- ✦Interactive visualizations of how topics relate over time
- ✦Unlimited library organization and collection sharing
- ✦Zotero integration for syncing saved papers
- ✦Up to 300 seed articles supported on the paid tier
- ✦Alerts for new related research
- ✦Reference import, organization, and deduplication across large libraries
- ✦AI-powered relevance predictions to prioritize screening
- ✦Collaborative title/abstract and full-text screening workflows
- ✦Structured data extraction and PICO framework support
- ✦Risk of bias assessment tools
- ✦Auto-generated PRISMA flow diagrams and audit trails
- ✦Mobile app for screening on the go
- ✦literature review generator with per-sentence citations
- ✦AI reader for PDFs
- ✦AI writer with citations
- ✦academic claim verification
- ✦question answering over literature
- ✦daily, conference and best-paper digests
- ✦cross-source search of papers, patents and grants
- ✦Research on AI governance
- ✦Analysis of AI risks and opportunities
- ✦Annual reports and updates
- ✦Information on AI regulation
- ✦Event summaries and announcements
- →Students digesting dense research papers quickly
- →Researchers doing literature reviews across many papers
- →Academics organizing a personal paper library
- →Building a systematic literature review efficiently
- →Discovering research gaps in an unfamiliar field
- →Tracking new publications related to saved papers
- →Visualizing how a body of research has evolved
- →Running systematic literature reviews as a research team
- →Speeding up deduplication and abstract screening for large reference sets
- →Producing PRISMA-compliant documentation for publication
- →Coordinating divided screening workloads across reviewers
- →staying current with new research
- →generating cited literature reviews
- →reading and understanding papers
- →verifying academic claims
- →tracking topics and conferences
- →Understanding public attitudes towards AI
- →Analyzing the impact of AI on great powers
- →Regulating downstream AI developers
- →Managing risks from AI-enabled biological tools