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Open Knowledge Maps
✓ verifiedFree
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
113K visits/mo1.1K saves
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Rayyan
✓ verifiedFreemium
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
1.1M 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
Pricing
No public pricing
No public pricing
Free: $0 (3 active reviews, 2 free reviewers)
Essential: $8.33/month billed quarterly
Advanced: $13.33/month billed quarterly (9 active reviews, 10 free reviewers)
No public pricing
No public pricing
Core features
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦Research on AI governance
- ✦Analysis of AI risks and opportunities
- ✦Annual reports and updates
- ✦Information on AI regulation
- ✦Event summaries and announcements
- ✦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
- ✦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
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Use cases
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Understanding public attitudes towards AI
- →Analyzing the impact of AI on great powers
- →Regulating downstream AI developers
- →Managing risks from AI-enabled biological tools
- →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
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications
- →Researching topics using AI-driven search results.
- →Accessing enhanced features with a Pro subscription.
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