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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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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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txyz.ai
✓ verifiedFreemium
AI research assistant for reading, searching, and writing about academic papers, built for researchers managing a personal library.
110K visits/mo
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Iris AI
✓ verifiedPaid
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
56K 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
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
Free: $0/year (up to 100-page file analysis, 5 writing pages)
Pro: $96/year (up to 100-page analysis, full library access)
Ultra: $288/year (up to 300-page analysis, 3x context window)
No public pricing
No public pricing
No public pricing
Core features
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦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)
- ✦Scholar Search
- ✦Axion for turning data chaos into AI-ready intelligence
- ✦Neuralith for converting enterprise knowledge into an AI engine
- ✦RSpace for precision intelligence in complex R&D
- ✦Data unification across fragmented enterprise sources
- ✦Built for regulated, compliance-driven industries
- ✦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
Use cases
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →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
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- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications
- →Research and idea generation
- →SEO content-gap analysis
- →Qualitative and market research
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