# Trade Mark Journal No.2026/023 5 June 2026

## UK00004388973 18 May 2026 (42)

OTARI

International priority date claimed: 15 May 2026 (European Union Intellectual Property Office (EUIPO)) (019365583)

Class 42
  Software as a Service (SaaS) featuring software for securely storing, managing and provisioning application programming interface (API) credentials for third-party large language models (LLMs) and artificial intelligence (AI) providers; Software as a Service (SaaS) for routing, proxying and brokering requests between software applications and third-party large language models (LLMs) and artificial intelligence (AI) providers; Software as a Service (SaaS) for monitoring, tracking, measuring and analyzing the usage and cost of third-party large language models (LLMs) and artificial intelligence (AI) services; Software as a Service (SaaS) for setting, enforcing and administering budgets, spending limits and financial controls for the consumption of third-party large language models (LLMs) and artificial intelligence (AI) services; Software as a Service (SaaS) for managing multi-tenant access, user roles, organizations, projects and team membership in connection with third-party large language models (LLMs) and artificial intelligence (AI) services; Software as a Service (SaaS) for ingesting, indexing, querying and visualizing telemetry data, traces and observability data generated by software applications that use large language models (LLMs) and artificial intelligence (AI) services; Software as a Service (SaaS) for testing, comparing, evaluating and experimenting with large language models (LLMs) and artificial intelligence models through an interactive interface; Software as a Service (SaaS) for issuing, managing and revoking authentication tokens and API credentials used to access large language models (LLMs) and artificial intelligence (AI) services; Software as a Service (SaaS) for billing, metering, prepaid wallet management and payment processing in connection with the consumption of third-party large language models (LLMs) and artificial intelligence (AI) services; Software as a Service (SaaS) for automatically selecting, routing and dispatching requests among multiple large language models (LLMs) and artificial intelligence (AI) models based on cost, latency, quality, accuracy and other performance criteria; Software as a Service (SaaS) for connecting and integrating large language models (LLMs) and artificial intelligence (AI) agents with third-party software applications, tools and enterprise systems, including via the Model Context Protocol (MCP) and other integration mechanisms; Software as a Service (SaaS) for provisioning, managing and operating sandboxed cloud computing environments in which artificial intelligence (AI) agents execute code, run tools and perform automated tasks; Software as a Service (SaaS) featuring access to hosted and managed third-party large language models (LLMs) and artificial intelligence (AI) models through a unified application programming interface (API); Software as a Service (SaaS) for configuring and enforcing safety, policy and content guardrails on requests to and responses from large language models (LLMs) and artificial intelligence (AI) models, including detection and redaction of personally identifiable information (PII), defenses against prompt injection, topic and content restrictions, and validation of model outputs; Platform as a Service (PaaS) featuring software for securely storing, managing and provisioning application programming interface (API) credentials for third-party large language models (LLMs) and artificial intelligence (AI) providers; Platform as a Service (PaaS) for routing, proxying and brokering requests between software applications and third-party large language models (LLMs) and artificial intelligence (AI) providers; Platform as a Service (PaaS) for monitoring, tracking, measuring and analyzing the usage and cost of third-party large language models (LLMs) and artificial intelligence (AI) services; Platform as a Service (PaaS) for setting, enforcing and administering budgets, spending limits and financial controls for the consumption of third-party large language models (LLMs) and artificial intelligence (AI) services; Platform as a Service (PaaS) for managing multi-tenant access, user roles, organizations, projects and team membership in connection with third-party large language models (LLMs) and artificial intelligence (AI) services; Platform as a Service (PaaS) for ingesting, indexing, querying and visualizing telemetry data traces and observability data generated by software applications that use large language models (LLMs) and artificial intelligence (AI) services; Platform as a Service (PaaS) for testing, comparing, evaluating and experimenting with large language models (LLMs) and artificial intelligence models through an interactive interface; Platform as a Service (PaaS) for issuing, managing and revoking authentication tokens and API credentials used to access large language models (LLMs) and artificial intelligence (AI) services; Platform as a Service (PaaS) for billing, metering, prepaid wallet management and payment processing in connection with the consumption of third-party large language models (LLMs) and artificial intelligence (AI) services; Platform as a Service (PaaS) for automatically selecting, routing and dispatching requests among multiple large language models (LLMs) and artificial intelligence (AI) models based on cost, latency, quality, accuracy and other performance criteria; Platform as a Service (PaaS) for connecting and integrating large language models (LLMs) and artificial intelligence (AI) agents with third-party software applications, tools and enterprise systems, including via the Model Context Protocol (MCP) and other integration mechanisms; Platform as a Service (PaaS) for provisioning, managing and operating sandboxed cloud computing environments in which artificial intelligence (AI) agents execute code, run tools and perform automated tasks; Platform as a Service (PaaS) featuring access to hosted and managed third-party large language models (LLMs) and artificial intelligence (AI) models through a unified application programming interface (API); Platform as a Service (PaaS) for configuring and enforcing safety, policy and content guardrails on requests to and responses from large language models (LLMs) and artificial intelligence (AI) models, including detection and redaction of personally identifiable information (PII), defenses against prompt injection, topic and content restrictions, and validation of model outputs; Providing non-downloadable software for securely storing, managing and provisioning application programming interface (API) credentials for third-party large language models (LLMs) and artificial intelligence (AI) providers; Providing non-downloadable software for routing, proxying and brokering requests between software applications and third-party large language models (LLMs) and artificial intelligence (AI) providers; Providing non-downloadable software for monitoring, tracking, measuring and analyzing the usage and cost of third-party large language models (LLMs) and artificial intelligence (AI) services; Providing non-downloadable software for setting, enforcing and administering budgets, spending limits and financial controls for the consumption of third-party large language models (LLMs) and artificial intelligence (AI) services; Providing non-downloadable software for managing multi-tenant access, user roles, organizations, projects and team membership in connection with third-party large language models (LLMs) and artificial intelligence (AI) services; Providing non-downloadable software for ingesting, indexing, querying and visualizing telemetry data, traces and observability data generated by software applications that use large language models (LLMs) and artificial intelligence (AI) services; Providing non-downloadable software for testing, comparing, evaluating and experimenting with large language models (LLMs) and artificial intelligence models through an interactive interface; Providing non-downloadable software for issuing, managing and revoking authentication tokens and API credentials used to access large language models (LLMs) and artificial intelligence (AI) services; Providing non-downloadable software for billing, metering, prepaid wallet management and payment processing in connection with the consumption of third-party large language models (LLMs) and artificial intelligence (AI) services; Providing non-downloadable software for automatically selecting, routing and dispatching requests among multiple large language models (LLMs) and artificial intelligence (AI) models based on cost, latency, quality, accuracy and other performance criteria; Providing non-downloadable software for connecting and integrating large language models (LLMs) and artificial intelligence (AI) agents with third-party software applications, tools and enterprise systems, including via the Model Context Protocol (MCP) and other integration mechanisms; Providing non-downloadable software for provisioning, managing and operating sandboxed cloud computing environments in which artificial intelligence (AI) agents execute code, run tools and perform automated tasks; Providing non-downloadable software featuring access to hosted and managed third-party large language models (LLMs) and artificial intelligence (AI) models through a unified application programming interface (API); Providing non-downloadable software for configuring and enforcing safety, policy and content guardrails on requests to and responses from large language models (LLMs) and artificial intelligence (AI) models, including detection and redaction of personally identifiable information (PII), defenses against prompt injection, topic and content restrictions, and validation of model outputs.

MZL.AI

Representative: Hogan Lovells International LLP