Keenious

Keenious is the AI document-aware paper recommendation tool purpose-built for researchers, students, and writers who need to discover relevant academic papers based on the document they're currently writing — rather than running keyword searches against academic databases. Founded with a focus on context-aware research discovery, Keenious has grown into a competitive specialized brand in the AI literature recommendation category, with positioning around the document-aware recommendation workflow that horizontal academic search tools (Google Scholar, Semantic Scholar) handle less natively. Pricing follows a tiered freemium model with annual options: Free at $0/month covers basic paper recommendations for individual researchers. Plus at $10/month (when billed annually) covers individual researchers with all search results, unlimited responses per conversation, unlimited conversations per day, and 20MB max file upload size. Teams at $20/user/month (when billed annually) covers research teams with all Plus features plus admin console, centralized billing, dedicated support, and two-factor authentication. Institutions tier is custom-priced for universities and research libraries with site-licensing. Keenious' differentiation versus traditional academic search engines (Google Scholar, Semantic Scholar) and AI research tools (Elicit, SciSpace, Undermind) is the document-aware recommendation methodology combined with workflow integration: rather than requiring researchers to formulate search queries (Google Scholar pattern) or AI prompts (Elicit pattern), Keenious analyzes the document the researcher is currently writing and recommends relevant papers based on document context. This produces materially better workflow integration for active research writing than search-first alternatives that require workflow-breaking context switches. Keenious capabilities include document-aware paper recommendations, integration with major writing tools (Microsoft Word, Google Docs, web), AI conversations about recommended papers, file upload for context analysis (20MB limit on Plus and Teams), team management for research groups, two-factor authentication for institutional security, and academic database integration. The platform serves academic researchers, graduate students, scientific writers, and institutional research libraries globally. Keenious operates under standard SaaS security practices with GDPR compliance.