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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.
AI education platform with 80+ teacher tools and student features, built for schools with privacy controls.
Community hub for data scientists with competitions, courses, events (Data Fest) and company hubs, largely Russian-language.
No public pricing
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
- ✦80+ AI teacher tools
- ✦50+ safe student tools
- ✦AI instructional coach
- ✦Enterprise-grade security and privacy
- ✦District dashboards and rollout support
- ✦Free for teachers
- ✦ML competitions and hackathons
- ✦Courses on NLP, LLMs and classic ML
- ✦Data Fest conference tracks and recorded talks
- ✦Company and community hubs
- ✦Jobs board and events calendar
- →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
- →Plan lessons and cut prep time
- →Personalize student learning
- →Roll out AI safely across a district
- →Build student AI literacy
- →Compete in data-science challenges
- →Take structured ML/NLP courses
- →Watch conference talks
- →Network within the data-science community