OASIS Trademark
OASIS is a USPTO trademark filed by WCH TOPCO LLC. Status: Pending.
Trademark Facts
| Mark | OASIS |
|---|---|
| Serial Number | 99780119 |
| Status | Pending |
| Filing Date | 2026-04-22 |
| Mark Type | Word |
| Nice Classes | 009 (Electronics & Software), 042 (Software & IT) |
| Owner | WCH TOPCO LLC |
| Prosecution Events | 3 |
| Latest Event | MAFR on 2026-04-22 |
Goods & Services
Class 009: 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; Class 042: 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