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Elicit
✓ verifiedFreemium
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
2.1M visits/mo
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Infranodus
✓ verifiedFreemium
Knowledge-graph text analysis tool that surfaces topics and content gaps for research, SEO and market analysis.
71K visits/mo
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SciSummary
✓ verifiedFreemium
AI tool that summarizes scientific papers into abstract, methods, results, and conclusion sections, with figure and citation support.
74K visits/mo162K saves
Pricing
Basic: Free
Plus: $10 per month, billed annually
Pro: $42 per month, billed annually
Team: $65 per user, per month billed annually
Enterprise: Custom
No public pricing
Free Trial: $0 for first 7 days (30,000 words, 5 figures, 100 chat messages)
Student: $0 for first month (promo code, unlimited use)
Pro: $4/month billed as $48/year (unlimited summaries, figures, chat, and searches)
Free trial available
No public pricing
No public pricing
Core features
- ✦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
- ✦Research on AI governance
- ✦Analysis of AI risks and opportunities
- ✦Annual reports and updates
- ✦Information on AI regulation
- ✦Event summaries and announcements
- ✦Scholar Search
Use cases
- →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
- →Understanding public attitudes towards AI
- →Analyzing the impact of AI on great powers
- →Regulating downstream AI developers
- →Managing risks from AI-enabled biological tools
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