OASIS Trademark

Software as a service (SaaS) services and platform as a service (PaaS) services, both featuring non-generative artificial intelligence software for context engineering, context mapping, information retrieval, and knowledge orchestration for operational intelligence applications, namely: constructing and maintaining semantic data layers that map canonical relationships across multiple enterprise data sources; confidence-tiered validation and promotion of data findings through staged quality gates; hybrid information retrieval combining vector search, keyword search, and knowledge graph traversal with domain-aware routing to deliver context to artificial intelligence agents; cross-system entity resolution for deterministic identity matching of records across disparate enterprise vendor systems; automated data quality validation including schema drift detection, structured query verification, numerical claim certification, and join-path integrity auditing; knowledge graph construction and maintenance with AI-generated cross-domain relationship bridges; operational data visualization through interactive dashboards fed by the semantic data layer; sub-agent orchestration for coordinating multiple artificial intelligence agents performing operational intelligence and enterprise data analysis tasks with adversarial review; and compression-defensive agent memory management for externalizing session state under context-window constraints; none of the foregoing being generative artificial intelligence models, large language models, blockchain platforms, or cryptocurrency applications

Downloadable computer software and application programming interface (API) software libraries for context engineering, context mapping, information retrieval, and knowledge orchestration for operational intelligence applications, namely: constructing semantic data layers that map canonical relationships across multiple enterprise data sources; confidence-tiered validation and promotion of data findings through staged quality gates; hybrid information retrieval combining vector search, keyword search, and knowledge graph traversal with domain-aware context routing for artificial intelligence agents; cross-system entity resolution for deterministic identity matching across disparate enterprise vendor systems; automated data quality validation including schema drift detection, structured query verification, and numerical claim certification; knowledge graph construction with AI-generated cross-domain relationship bridges; and sub-agent orchestration for coordinating multiple artificial intelligence agents performing operational intelligence and enterprise data analysis tasks; none of the foregoing being generative artificial intelligence models, large language models, blockchain platforms, or cryptocurrency applications