MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202611007556 A) filed by Chandigarh University, Mohali, Punjab, on Jan. 27, for 'ai-powered trademark comparison system.'
Inventor(s) include Dr. Ajaymeet Singh; and Dr. Chander Parkash Singh.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an artificial intelligence-based system for detecting and preventing deceptive similarity between trademarks. The system performs automated, multi-modal analysis of trademarks by evaluating textual, visual, and auditory elements using machine learning, natural language processing, computer vision, and phonetic analysis techniques. Trademark data received from users is compared against a comprehensive database of registered and pending trademarks to generate similarity scores across multiple dimensions. These scores are processed through a legally aligned assessment module to produce a graded deceptive similarity risk indication, taking into account industry-specific sensitivity and jurisdiction-dependent legal standards. The system further provides explainable reports and real-time pre-filing risk assessment to assist trademark applicants, legal professionals, and examiners. By offering objective, scalable, and proactive trademark similarity evaluation, the disclosed invention reduces legal uncertainty, minimizes conflict risk, and improves efficiency in trademark clearance and enforcement processes."
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