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Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
AI research platform for literature reviews, paper Q&A and daily digests, built for academics wanting cited answers.
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
Widely used visual tool for exploring related academic papers.
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
No public pricing
No public pricing
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦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
- ✦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
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →staying current with new research
- →generating cited literature reviews
- →reading and understanding papers
- →verifying academic claims
- →tracking topics and conferences
- →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
- →Getting a visual overview of a new academic field
- →Ensuring no key papers are missed in a field with a large volume of new publications
- →Creating a bibliography for a thesis
- →Discovering relevant prior and derivative works
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems