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Curated intelligence app delivering verified, attributed human analysis across tech, climate, health and mobility.
Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Widely used visual tool for exploring related academic papers.
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
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-powered semantic search across 236M+ papers
- ✦Semantic Reader for augmented, contextual paper reading
- ✦Free public API for paper search and metadata
- ✦Author and topic discovery
- ✦Citation graph exploration
- ✦Beta program for new features
- ✦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
- ✦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
- →Researchers searching scientific literature across disciplines
- →Developers building applications on top of scholarly data via the API
- →Students exploring citation networks for a topic
- →Librarians and academics needing free literature discovery tools
- →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
- →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