# Trade Mark Journal No.2026/011 13 March 2026

## WO0000001890193 (9,35,39,42)

Office of origin: Benelux Office for Intellectual Property (BOIP)

Date of International Registration:29 September 2025
Date of designation in the UK: 29 September 2025

The mark contains the colours black, orange, green and purple.

International priority date claimed: 23 May 2025 (Benelux Office for Intellectual Property (BOIP)) (1525617)

Class 9
  Computer software for data storage; computer hardware and software for data processing; machine learning and artificial intelligence (AI) software; data compression software; data replication software; data visualization software; data encryption software; data management software; data schema storage software; metadata storage software; multi-tenant software; auditing software; data processing scheduler software; structured (SQL) and non-structured (NoSQL) query language software; data transfer software; data streaming software; online analytical processing (OLAP) and online transactional processing (OLTP) software; transaction processing software; web application software; software for administrative purposes; operation progress tracking software; computational engine compatibility software; analytical integrated development environments (IDE) software; business intelligence software; software development kits (SDKs), namely, SDKs for programmatic interaction with data and AI services, SDKs to submit and manage workflows and jobs, and SDKs to access data tables, files, and metadata; open source software; workload scheduling software; authentication software; code execution software; log storage software; interactive notebook software; programming language software; automation software.
Class 35
  Database management; database management consultancy; data management and processing, namely, providing a unified platform for managing and processing data, support for queries over structured datasets, distributed processing, handling of structured metadata, raw files, and dataset tables, and execution of artificial intelligence models for data inference and transformation; management of data lakes, namely, support for the full lifecycle of data lake creation and operation, distributed filesystem optimized for tabular data and artificial intelligence workloads, integrated data catalog through structured metadata management, unified ingestion, transformation, and access layers using workflows and notebooks, multi-format data support including tabular datasets, raw files, and model artifacts, and support for data governance through access control and metadata tagging.
Class 39
  Physical storage of electronically stored data or documents.
Class 42
  Cloud computing services; managed IT services for the deployment and execution of artificial intelligence and data workloads, namely, serverless compute orchestration for GPU and CPU tasks, managed registry for storing and running containerized workloads, workflow management for automated pipeline execution, integrated notebook and web interfaces for development and monitoring, and distributed filesystem for scalable data access and management; software as a service (SaaS) and platform as a service (PaaS) featuring software for big data processing, analytics, data integration, migration, warehousing, mining, collection, sharing, governance, visualization, interpretation, and science; SaaS and PaaS featuring software for artificial intelligence (AI), machine learning (ML), deep learning, large language models (LLMs), natural language generation, statistical learning, supervised and unsupervised learning, predictive analytics, and business intelligence; SaaS and PaaS featuring software for retrieval-augmented generation (RAG), content transmission, and management, including images, audio, video, and text; SaaS and PaaS featuring software development tools, including application programming interfaces (APIs), software development kits (SDKs), and platforms for building, deploying, and monitoring applications in data analytics, artificial intelligence (AI), and machine learning (ML); hosting services for search platforms and artificial intelligence (AI), machine learning (ML) and large language model (LLM) models, enabling indexing, querying, mining, and inferencing over data; application service provider (ASP) services for managing, developing, and maintaining software applications in the fields of big data, artificial intelligence (AI), and analytics; software engineering and computer programming services for data processing and analysis; technology consulting and providing information in the fields of artificial intelligence (AI), machine learning (ML), large language models (LLMs), computing, software, and web and mobile technologies; development and design of data lakes, namely, support for the full lifecycle of data lake creation and operation, distributed filesystem optimized for tabular data and artificial intelligence workloads, integrated data catalog through structured metadata management, unified ingestion, transformation, and access layers using workflows and notebooks, multi-format data support including tabular datasets, raw files, and model artifacts, and support for data governance through access control and metadata tagging.

NEBIUS B.V.