DeepSearch™ technology refers to AI-powered, advanced information retrieval systems that go beyond keyword matching to understand context, semantic meaning, and intent. It is used to analyse large, unstructured datasets, such as academic papers, corporate documents, and visual data, to deliver comprehensive, synthesised insights and accurate deep-web searching, often used in research, due diligence, and plagiarism detection.
It scans content across billions of academic papers, web pages, and internal sources to detect not only direct matches but also paraphrased and AI-influenced text. This allows institutions to identify nuanced plagiarism and maintain a higher standard of originality in student work.
Key Applications of DeepSearch™ Technology
- Plagiarism Detection & Academic Integrity: Identifies more than just exact matches by analysing context, sentence structure, and paraphrasing patterns.
- AI & Paraphrased Content Detection: By combining contextual analysis with AI detection, DeepSearch™ helps flag content that may appear original but is structurally or stylistically derived from existing sources.
- Context-Aware Source Matching: Scans across billions of academic and web sources to identify meaningful similarities rather than surface-level matches.
- Actionable Originality Reporting: Powers clear, easy-to-understand reports with highlighted matches, source links, and similarity scores for better decision-making.