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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Connected Papers
✓ verifiedFreemium
Widely used visual tool for exploring related academic papers.
873K visits/mo
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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
Free: USD 0
Academic: USD 3 /month*
Business: USD 10 /month*
Academic Group: 3 USD / seat / month*
Business Group: 10 USD / seat / month*
Academic Library: Request a Quote
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
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦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
- →Getting a visual overview of a new academic field
- →Ensuring no key papers are missed in a field with a large volume of new publications
- →Creating a bibliography for a thesis
- →Discovering relevant prior and derivative works
- →Running literature reviews across many papers
- →Extracting comparable data points from studies
- →Mapping relationships between research papers
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