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ThesisAI
✓ verifiedPaid
AI research workspace that drafts full academic papers with verified inline citations from up to 500 uploaded sources in a single prompt.
189K visits/mo32K saves
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Connected Papers
✓ verifiedFreemium
Widely used visual tool for exploring related academic papers.
873K visits/mo
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Open Knowledge Maps
✓ verifiedFree
Free nonprofit tool that visualizes scientific literature as topic maps, clustering papers to speed research discovery.
113K visits/mo1.1K saves
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Iris AI
✓ verifiedPaid
Enterprise AI knowledge platform that unifies complex regulated-industry data into trusted, AI-ready intelligence for R&D and agents.
56K visits/mo
Pricing
Per document: from $4
No public pricing
Free: USD 0
Academic: USD 3 /month*
Business: USD 10 /month*
Academic Group: 3 USD / seat / month*
Business Group: 10 USD / seat / month*
Academic Library: Request a Quote
No public pricing
No public pricing
Core features
- ✦Full document drafting from one prompt
- ✦Automated literature search via Semantic Scholar
- ✦Import and cite up to 500 uploaded papers
- ✦Inline citation verification
- ✦Export to PDF, Word, LaTeX, and BibTeX
- ✦Overleaf integration for manual editing
- ✦Zotero and Mendeley library import
- ✦Scholar Search
- ✦Visual graph generation of related academic papers
- ✦Discovery of prior and derivative works
- ✦Identification of important and relevant papers
- ✦Exploration of research field dynamics
- ✦AI-generated visual maps of research topics
- ✦Clusters papers into themes
- ✦Open-access resource discovery
- ✦Open-source and nonprofit
- ✦Custom integrations/embedding for organizations
- ✦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
Use cases
- →Researchers producing a literature review quickly
- →Students drafting long papers with verified citations
- →Academics writing in a non-native language
- →Exporting AI-drafted content into LaTeX workflows
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- →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
- →Get an overview of a research field
- →Find relevant papers faster
- →Identify key concepts in the literature
- →Embed discovery tools in library systems
- →Grounding enterprise AI agents in trusted internal knowledge
- →Accelerating R&D literature and data analysis
- →Unifying siloed regulated data for AI applications
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