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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.
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.
No public pricing
No public pricing
Free trial available
- ✦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
- ✦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
- →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
- →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