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Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Knowledge-graph text analysis tool that surfaces topics and content gaps for research, SEO and market analysis.
AI tool that summarizes scientific papers into abstract, methods, results, and conclusion sections, with figure and citation support.
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
No public pricing
Free trial available
No public pricing
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦Text network / knowledge graph visualization
- ✦Topic modeling and content-gap detection
- ✦AI insight and question generation
- ✦GraphRAG and MCP server for LLMs
- ✦Many import sources (PDF, CSV, YouTube, Google, web)
- ✦Obsidian plugin and browser extension
- ✦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
- ✦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
- ✦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
- →Research and idea generation
- →SEO content-gap analysis
- →Qualitative and market research
- →Students digesting dense research papers quickly
- →Researchers doing literature reviews across many papers
- →Academics organizing a personal paper library
- →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
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems