RefLens was founded to address a critical challenge in academic research: the verification and accuracy of citations and references in scholarly work.
Born from the need to streamline reference verification processes, RefLens combines cutting-edge AI technology with comprehensive academic databases to provide researchers, institutions, and publishers with powerful tools for ensuring citation accuracy and research integrity.
To establish a global standard for reference verification and citation accuracy, empowering researchers and institutions to maintain the highest levels of research integrity.
RefLens is committed to providing innovative AI-powered solutions that automate reference verification, detect citation inconsistencies, and ensure the accuracy of scholarly citations across all research fields.
Leverages multiple AI models including OpenAI GPT, Google Gemini, and DeepSeek for intelligent citation analysis and context understanding.
Direct integration with Crossref, Semantic Scholar, OpenCitations, and Unpaywall for comprehensive metadata retrieval and verification.
Built on Django 5 with robust security, scalability, and multi-organization support for enterprise-level deployments.
Verify student dissertations and faculty publications for citation accuracy.
Automate reference checking for journal submissions and manuscripts.
Ensure citation accuracy before submission to journals and conferences.
Maintain reference databases and verify team publications collaboratively.