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Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Free-first literature discovery tool that visually maps citation networks and related papers to speed up systematic reviews.
AI reviewer that critiques academic manuscripts and Coauthor agents that search, cite, and draft alongside researchers.
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
Algor Education turns notes, docs, and media into AI-generated concept maps, flashcards, quizzes, and study notes.
No public pricing
No public pricing
Free trial available
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦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
- ✦AI manuscript review flagging gaps in argument and evidence
- ✦Citation search across 200+ million academic sources
- ✦Coauthor agents that search, read, and draft alongside users
- ✦Journal recommender and chat support
- ✦Confidentiality guarantee that documents aren't used for AI training
- ✦Axion for turning data chaos into AI-ready intelligence
- ✦Neuralith for converting enterprise knowledge into an AI engine
- ✦RSpace for precision intelligence in complex R&D
- ✦Data unification across fragmented enterprise sources
- ✦Built for regulated, compliance-driven industries
- ✦AI concept and mind maps
- ✦AI flashcards and quizzes
- ✦AI study notes/summaries
- ✦Transcriptions from audio/video
- ✦Prebuilt and custom templates
- ✦Multi-language support
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →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
- →Graduate students refining a thesis or dissertation
- →Researchers preparing a manuscript for journal submission
- →Students polishing essays and reports for coursework
- →Getting fast feedback without waiting on a supervisor
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications
- →Turning notes into visual study aids
- →Creating teaching materials
- →Exam revision and self-study