Compare tools
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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Futurwise
✓ verifiedFreemium
Curated intelligence app delivering verified, attributed human analysis across tech, climate, health and mobility.
40K saves
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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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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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Inquisite
✓ verifiedFree
AI-powered semantic search over 100M+ research papers that extracts structured attributes and maps relationships across results.
11K saves
Pricing
No public 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
No public pricing
Core features
- ✦Curated intelligence across four domains
- ✦Tiered source channels from news to research
- ✦Verified and attributed human insight
- ✦Daily updates on fast-changing topics
- ✦Mobile and web access
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦Semantic search across 100M+ research papers
- ✦Structured attribute extraction (methods, findings, limitations)
- ✦Table, list, synthesis and graph visualizations
- ✦PDF upload and import from URL
- ✦Project organization and adjustable search scope
Use cases
- →Staying informed on emerging tech and policy
- →Following expert analysis over algorithmic feeds
- →Tracking research shaping the next few years
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Running literature reviews across many papers
- →Extracting comparable data points from studies
- →Mapping relationships between research papers
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