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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.
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
Interactive learning app with an AI tutor for math, coding, science and data-visual, adaptive lessons for all ages.
Free AI-assisted career aptitude quiz that matches personality and skills to suggested tech career paths.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦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
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦Personal AI tutor (Koji)
- ✦Visual, interactive lessons
- ✦Adaptive practice based on mastery
- ✦Courses in math, CS, science and data
- ✦Gamified streaks, levels and daily goals
- ✦iOS and Android apps
- ✦AI-assisted career matching using validated psychological models
- ✦Instant results with no account required
- ✦Personality analysis alongside skill-based career matches
- ✦Ranked list of best-fit career paths
- ✦Job role overview summaries for each match
- →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
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Learning math and coding by doing
- →Getting adaptive tutoring outside class
- →Building STEM intuition
- →Daily skill practice
- →People considering a career change into tech seeking data-driven direction
- →Students unsure which tech role fits their strengths
- →Job seekers wanting language to explain their strengths to employers or mentors