Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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 research assistant for reading, searching, and writing about academic papers, built for researchers managing a personal library.
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
AI research workspace combining literature search, protocol drafting, chemistry tools, and notebook computation for scientists.
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
- ✦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
- ✦AI-assisted search across academic papers
- ✦Chat-based Q&A over uploaded documents with source citations
- ✦Personal research library with retention limits by plan
- ✦AI writing agent for drafting research-based content
- ✦API access for institutions and businesses
- ✦Adjustable file upload size (up to 300 pages on top tier)
- ✦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 search across PubMed, arXiv, and Google Scholar
- ✦AI-assisted protocol drafting and hazard/assumption auditing
- ✦Built-in chemistry tools for molecular weight, hazards, and reactions
- ✦Jupyter notebook execution with RDKit and PySCF support
- ✦Persistent workspace storing protocols, files, and audit trails
- ✦Access to multiple AI models (GPT, Claude, Gemini, Qwen, DeepSeek) in one subscription
- ✦Quantum chemistry simulation via PySCF and ASE
- →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
- →Finding papers relevant to a research topic
- →Getting quick summaries and answers from long PDFs
- →Managing and revisiting a personal library of research papers
- →Drafting literature-informed writing with AI assistance
- →Integrating paper search/analysis into an institution's own tools via API
- →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
- →Researchers turning a question into a literature review and protocol
- →Chemists checking compound properties and reaction feasibility
- →Lab teams auditing experimental protocols for safety and gaps
- →Scientists running computational chemistry without separate tools