MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641086847 A) filed by Sri Surya Mullapudi; and Soujanya Vummannagari on July 16, 2026, for Artificial Intelligence Based Autonomous Streaming Data Pipeline Migration, Validation And Reconciliation Framework For Cloud-Native Data Platforms.
Inventors include Sri Surya Mullapudi; and Soujanya Vummannagari.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention discloses an Artificial Intelligence based autonomous framework for migration, validation, and reconciliation of streaming data pipelines across cloud-native data platforms. The framework comprises a Sink Health Analyzer that continuously monitors operational telemetry and computes a Sink Saturation Score to determine migration readiness; an AI-Based Migration Recommendation Engine that evaluates candidate target platforms using trained machine learning models; an Intelligent Migration Orchestrator that automatically plans and executes migrations with dual-write configurations; an Automated Reconciliation Engine that validates data integrity through cryptographic hash validation, row count verification, and data completeness analysis; an Autonomous Schema Evolution Controller that manages schema changes without manual intervention; and an Exactly-Once Migration Controller that prevents data loss and duplication. The framework enables autonomous end-to-end migration of enterprise-scale streaming data pipelines while reducing operational risk, cost, and complexity. The invention is applicable to healthcare data platforms, financial systems, insurance platforms, IoT systems, telecommunications networks, and enterprise cloud modernization programs. FIG.1.
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