MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202541039681 A) filed by Bishal De on April 24, 2025, for Privacy-Focused Multimodal Agentic Ai Framework With Edge Computing And Open-Source Llms.
Inventors include Keshavi Sharma; Bishal De; and Dr. Jeyasudha J.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present invention discloses a Privacy-Focused Multimodal Agentic AI Framework with Edge Computing and Open-Source LLMs that enables secure, locally deployable artificial intelligence processing across multiple data modalities. The invention integrates advanced multimodal input handling—spanning text, images, audio, video, documents, and structured data—with a privacy-centric design that eliminates the need for cloud connectivity. By leveraging Retrieval-Augmented Generation (RAG) techniques combined with open1source large language models (LLMs), the system provides contextually accurate and dynamically generated responses while ensuring complete data confidentiality. Optimized for edge devices, the framework employs lightweight neural network architectures and secure encryption protocols, allowing it to operate efficiently on resource-constrained platforms. The invention is particularly suited for applications in sectors requiring strict data privacy, including healthcare, finance, education, and legal domains. In addition to real-time multimodal processing, the framework incorporates role-based access control, enabling differentiated functionalities for administrators and end users. The invention represents a significant advancement over existing cloud-dependent AI solutions by providing a robust, secure, and scalable architecture that meets the demands of modern, privacy-sensitive environment
Disclaimer: Curated by HT Syndication.
