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Patent #1

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ONTOLOGY-DRIVEN, AGENTIC, CROSS-DATABASE RUNTIME DATA CORRELATION & SQL QUERY AGENT USING KNOWLEDGE GRAPH AND LANGUAGE MODELS

The present invention relates to an intelligent data integration system that utilizes ontology-driven artificial intelligence agents to perform real-time cross-database data correlation and SQL query generation. The system employs knowledge graphs and language models to create a unified organizational data fabric that eliminates data silos by semantically mapping heterogeneous data sources to domain-specific ontologies and business processes. The invention enables natural language querying across multiple databases, APIs, and data streams through an agentic architecture that performs semantic search, intent extraction, and automated query optimization using proprietary algorithms integrated with large language models.

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Patent #2

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JUST-IN-TIME ETL AND MAPREDUCE AGENT FOR CROSS-DATABASE LARGE DATA PROCESSING

The present invention relates to a dynamic data processing system that creates just-in-time Extract, Transform, Load (ETL) and MapReduce operations for cross-database large data processing without requiring data movement or pre-defined pipeline configurations. The system automatically generates runtime ETL and MapReduce jobs that adapt processing strategy based on data size, switching between in-memory and disk-based processing as needed. The invention eliminates traditional ETL complexity by creating temporary processing workflows on-demand, executing distributed operations across multiple heterogeneous databases, and automatically purging temporary data upon job completion. The system integrates with ontology-driven query systems to receive optimized SQL queries and executes them through intelligent resource allocation, fault tolerance mechanisms, and distributed coordination across enterprise data sources.

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Patent #3

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BUSINESS-AWARE AI TWIN: MULTI-AGENTIC ONTOLOGY-DRIVEN PLATFORM FOR COMPREHENSIVE ENTERPRISE INTELLIGENCE AND PROCESS AUTOMATION

The present invention relates to a comprehensive business-aware artificial intelligence platform that creates an AI twin of entire enterprise operations through multi-agentic orchestration and ontology-driven business process modeling. The system integrates previously disclosed ontology-driven cross-database query processing with just-in-time ETL and MapReduce capabilities to deliver proactive, multi-dimensional business intelligence across all organizational functions. The invention automatically discovers, correlates, and analyzes enterprise data to create a unified business understanding that enables process automation, predictive analytics, document intelligence, and multi-dimensional reasoning. Unlike reactive AI systems that operate in silos, this platform provides proactive business-aware intelligence that understands organizational context, business relationships, and operational dependencies to deliver comprehensive enterprise automation and decision support across manufacturing, supply chain, customer success, and all business operations.