MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202541120583 A) filed by Algoleap Technologies Pvt Ltd on December 02, 2025, for A Method And System For Sequential Platform Observability Maturity Advancement With Intelligent Artificial Intelligence (ai) Driven Predictive And Self-Healing Capabilities.
Inventors include Dr Pani Baruri; Prashant Achanta; Jayaraj Jayakeerthy; Shravan Pagolu; and Hem Chandra Padhalni.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT The present invention discloses a method and system for advancing predictive observability information maturity in cloud-native, distributed computing environments through AI-driven predictive analytics, meta-learning fusion, and autonomous self-healing. The system employs a multilayer architecture comprising an operational telemetry ingestion, a multi-model prediction, a sentiment analysis, a meta-learner fusion engine, a contextual reasoning, and an agentic AI execution module. The meta-learner fusion engine, dynamically fuses outputs from a plurality of analytical predictive models with sentiment and historical performance data to generate unified, context-aware incident risk predictions. The system interprets context-aware incident risk predictions to produce prescriptive root cause analyses and autonomously executes low-risk remediation actions. Through a structured five-stage maturity model, the invention enables enterprises to evolve from basic monitoring to autonomous, sentiment-aware operations. Continuous feedback ensures adaptive learning and improved accuracy. The invention delivers predictive, self-healing predictive observability information, reducing downtime, improving reliability, and enhancing user satisfaction across large-scale digital platforms. Figure 1 may be used for the abstract
Disclaimer: Curated by HT Syndication.
