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Curated intelligence app delivering verified, attributed human analysis across tech, climate, health and mobility.
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
AI-assisted systematic literature review platform for research teams handling screening, deduplication, extraction, and PRISMA reporting.
Free-first literature discovery tool that visually maps citation networks and related papers to speed up systematic reviews.
Daily AI newsletter that condenses AI news, tool spotlights, and practical use cases into a five-minute read for over two million readers.
No public pricing
No public pricing
- ✦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
- ✦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
- ✦Citation and author network exploration from a seed paper
- ✦Interactive visualizations of how topics relate over time
- ✦Unlimited library organization and collection sharing
- ✦Zotero integration for syncing saved papers
- ✦Up to 300 seed articles supported on the paid tier
- ✦Alerts for new related research
- ✦Daily AI news digest delivered by email
- ✦Practical application tips alongside each story
- ✦Exclusive interviews with AI industry leaders
- ✦AI University with guides, tools directory, and courses
- ✦Article archive on AI, tech, and robotics
- →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
- →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
- →Building a systematic literature review efficiently
- →Discovering research gaps in an unfamiliar field
- →Tracking new publications related to saved papers
- →Visualizing how a body of research has evolved
- →Professionals wanting a quick daily AI news briefing
- →Readers seeking practical ways to apply new AI tools
- →Learners looking for structured AI courses and guides
- →Following exclusive interviews with AI leaders