MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061090 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on May 14, for 'system and method for multimodular agentic ai-based hyperlocal business intelligence.'
Inventor(s) include Dr. Gnanakumari R; Srinivasan R; Sibhi K; Swetha M; Dr. Udhayamoorthi M; and Mr. Suresh P.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for automated validation, adaptive retraining, and secure deployment of machine learning and agentic artificial intelligence models for hyperlocal business intelligence. The system comprises a user input and model artifact module (101) configured to receive model data, a schema-controlled large language model module (102) for generating structured representations, and a test generation engine (103) for creating executable validation artifacts. The generated artifacts are executed in a secure sandbox execution module (104), while a performance monitoring module (105) captures behavioral metrics. An adaptive multi-signal retraining controller (106) determines retraining based on drift, uncertainty, cost, and model fatigue. A failure-driven retraining module (107) utilizes failed test cases to improve model performance. A containerization and deployment interface (108) deploys validated models to a cloud platform (109), enabling continuous, scalable, and secure hyperlocal intelligence services."
Disclaimer: Curated by HT Syndication.
