MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641072029 A) filed by Jaya Shrivastava; and Ayodhyanath Paikaray on June 10, 2026, for “a Framework For Integrating Artificial Intelligence In Product Development Lifecycle Management Through Continuous Prototype-Test-Refine Iterative Learning”.

Inventors include Jaya Shrivastava; and Ayodhyanath Paikaray.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: The present invention relates to an Artificial Intelligence (AI)-driven Product Development Lifecycle Management (PDLM) framework for enabling continuous product development, validation, optimization, and improvement through an iterative Prototype–Test–Refine learning cycle. The framework integrates a Data Acquisition Module, Lifecycle Mapping Module, AI Prototype Generation Module, Testing and Validation Module, AI Analytics Engine, Refinement and Optimization Module, Continuous Feedback Module, Knowledge Management Module, Iteration Control Engine, and a Human-in-the-Loop Governance Layer. Artificial intelligence technologies including machine learning, predictive analytics, recommendation systems, behavioral analysis, and intelligent automation are utilized to generate prototypes, evaluate product performance, identify improvement opportunities, predict outcomes, and support data-driven decision-making throughout the product lifecycle. The framework continuously collects and analyzes feedback from development activities, testing environments, operational systems, and end users to facilitate adaptive learning and iterative product enhancement. Human stakeholders provide strategic oversight, quality control, risk acceptance, innovation approval, and ethical governance for AI-generated recommendations. The invention enables accelerated product development, rapid validation, continuous optimization, improved product quality, reduced development risks, enhanced customer satisfaction, and sustained innovation across software applications, web platforms, mobile applications, cloud-based systems, enterprise applications, and other digital product ecosystems.

Disclaimer: Curated by HT Syndication.