South Wales, Sept. 24 -- United Kingdom Intellectual Property Office (UKIPO) has registered trademark "MONETIZATIONOS" on Sept. 9. The details about the trademark application no. UK00004261434 published in the journal no. 2025/038 (Sept. 19).
With Emma Sagir as representative, MonetizationOS Limited filed the trademark application for the below mentioned good(s)/service(s).
Class 9 : Computer software for managing digital content access, entitlement, and monetization; downloadable software development kits (SDKs) for implementing access control, dynamic pricing decisions, subscription management and revenue optimization across digital properties; application programming interface (API) software for real-time entitlement management, conversion and revenue optimization; computer software using reinforcement learning and large language models for monetization strategy optimization; edge computing software for access and monetization decisions; computer software for implementing dynamic pricing; software for detecting, classifying, managing and monetizing human and non-human traffic; software for automated content access negotiation with AI agents and bot traffic; computer software for unified human and machine monetization orchestration; software for access rules and business logic execution; software for implementing Zero Trust access principles for digital content; computer software featuring LLM agents for revenue growth recommendations and strategy automation; computer software for managing content lifecycle monetization; software for automated negotiation and pricing of digital content access; computer software for e-commerce, affiliate and advertising based access control, pricing and monetization; software for managing API rate limiting and usage-based billing; .
Class 35 : Business data analysis services relating to content monetization and revenue optimization; analysis of user behavior patterns, content consumption, and engagement metrics for pricing strategy development; business intelligence services based on actual or modelled user behavior and content interaction; data processing services for enriching customer and traffic data for monetization purposes; automated business intelligence services using machine learning to identify revenue opportunities and optimize customer lifetime value; providing business intelligence through automated recommendation systems derived from real-time user activity, pricing signals and engagement metrics; data processing services for real-time monetization decisions and access control; compilation and analysis of human and bot traffic patterns for commercial licensing and monetization purposes; analysis of content lifecycle value degradation for monetization timing; business process automation for access control and revenue workflows; providing actionable monetization insights through AI-powered analytics, advisory and predictive modeling; business consultation services regarding subscription retention and churn reduction strategies; business process automation services for monetization workflows; business services for optimizing total addressable market through dynamic pricing strategies; business intelligence services for usage optimization and seat management; analysis of product inventory access patterns for pricing optimization.
Class 36 : Financial data analysis and reporting services relating to subscription, monetization optimization and pricing strategies; financial information processing for usage-based access models and dynamic pricing systems; automated financial analysis services relating to content monetization strategies and subscription lifecycle management; financial information services for tracking and analyzing bot traffic monetization and machine access revenues; providing financial information regarding revenue performance, customer lifetime value, and monetization metrics; financial analysis services using machine learning for pricing optimization; financial information for digital monetization and access control strategies".
Class 38 : Providing access management to platforms and portals on the internet for content monetization; electronic transmission of access control decisions via edge networks and content delivery systems; providing access to cloud-based monetization, entitlement, and revenue optimization databases and APIs; data transmission and data caching services between content delivery networks, identity providers, billing and payment platforms, analytics systems and other third-party services; provision of real-time access control and monetization signals at network edge locations; electronic data interchange services for monetization platform integrations with external systems; transmission of machine learning model outputs and LLM agent recommendations for pricing decisions; providing access to distributed decision-making infrastructure for content monetization; electronic transmission of bot negotiation protocols and automated access authorization data; provision of real-time access control signals between content servers and client devices; providing access to distributed decision-making infrastructure for content monetization.
Class 42 : Software as a service (SaaS) for digital content monetization, access control, and revenue optimization; platform as a service (PaaS) featuring computer software platforms for orchestrating monetization decisions across human and machine traffic; cloud computing services featuring machine learning and LLM agents for real-time access decisioning, revenue maximization and predictive analytics; providing temporary use of non-downloadable software for managing unified human and bot traffic monetization; providing temporary use of non-downloadable software for managing subscription relationships, pricing strategies, and content access rules; application service provider featuring AI-powered monetization intelligence using machine learning and large language models; computer services, namely, acting as an application service provider in the field of monetization intelligence to host computer application software for the collection, analysis, and optimization of revenue data using machine learning algorithms; providing temporary use of non-downloadable software featuring machine learning for automated monetization recommendations and predictive analytics; computer services for detecting and classifying bot traffic and conducting automated pricing negotiations and content licensing; hosting of distributed edge-based decision engines; providing schema-based configuration systems for feature and access management, monetization rules with defined guardrails; computer services for content value lifecycle modeling, dynamic pricing optimization, and automated revenue strategy recommendations through LLM agents; providing temporary use of non-downloadable software featuring machine learning for continuous monetization optimization; hosting online web facilities for managing digital monetization strategies and integration workflows; cloud computing services for orchestrating access decisions across multiple content properties and brands.
The original document can be viewed at: http://www.ipo.gov.uk/cgi-bin/redirect.cgi?type=tmj&link=6¶m1=UK00004261434
Disclaimer: Curated by HT Syndication.
