Keenious is an AI-powered research assistant that analyzes academic texts and recommends relevant scholarly articles to support literature reviews and writing.
Keenious is an AI-powered research assistant designed to help students, academics, and professionals quickly discover relevant scholarly articles and sources. By analyzing the full text of a document, draft, or research question, it identifies key concepts and recommends high-quality academic literature that closely matches the user’s topic. Its primary purpose is to streamline the literature discovery process and support more thorough, evidence-based work in less time.
Keenious integrates with common writing environments such as Microsoft Word and Google Docs, allowing users to search for related research without leaving their document. It uses semantic analysis to go beyond simple keyword matching, identifying contextually relevant papers, authors, and journals that might not appear in traditional search results. Users can filter recommendations by discipline, language, and publication type, and view abstracts, citation details, and links to full texts when available. The tool also supports iterative refinement, enabling users to adjust focus as their research question evolves.
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