IPAS770
Concessão de registro em designação
RPI 2899
28/07/2026
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Dado oficial do INPI
MICHELANGELO AI
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Registro de marca em vigor (Madri)Tipo: VerbalEscritório: Brasil
Snapshot rápido
MICHELANGELO AI
ST13
BR500000501870070Classe
9, 42
Pedido
501870070
Registro
501870070
Andamento no INPI
- Depósito30/04/25
- Publicação04/11/25
- Exame
- Deferimento07/07/26
- Concessão
- Vigente30/04/35
Registro concedido e em vigor até 30/04/2035, quando precisa ser renovado.
Proteção válida até:30/04/2035
Última movimentação publicada pelo INPI: 28/07/2026. Atualizamos a cada nova RPI, publicada semanalmente.
Diagnóstico de risco e oportunidade
Leitura executiva para decisão de naming, protocolo e monitoramento.
Situação INPI
Registro de marca em vigor (Madri)
Tipo de processo
Pedido de registro
Eventos registrados
3
Atualização mais recente
28/07/2026
Tipo de marca
Verbal
Classes Nice
9, 42
Data de depósito
30/04/2025
Data de registro
-
Data de expiração
30/04/2035
Dados completos do processo
Campos estruturados da autoridade responsável e do histórico oficial.
Natureza
Madri Produto/Serviço
Escritório responsável
Brasil
Tipo de titular
NÃO RESIDENTE
Localização do titular
US
Titulares e representantes
Titulares
Uber Technologies, Inc.
Representantes
Sem dados de representantes.
Classificação técnica
Classes Nice
Classe 9Classe 42
Códigos Vienna
Sem códigos Vienna disponíveis.
Produtos e serviços
Classe 9
Downloadable computer programs for user interface designdownloadable software development kits (SDKs) and application programming interfaces (APIs) for use in connection with machine learning systemsdownloadable computer software for designing, building, training, deploying, evaluating, managing, and operating machine learning modelsdownloadable computer software for generative AI for developers to combine model prompts, generated text, and functions for text-based applicationsdownloadable computer software for integrating machine learning models into production environmentsdownloadable computer software for managing and accessing shared data features used in machine learning applicationsdownloadable computer software for model versioning, model monitoring, model visualization, and automated machine learning (AutoML)downloadable computer software for processing data, training machine learning models, and performing automated analyticsdownloadable computer software for use by data scientists, engineers, and researchers in training, testing, and validating machine learning algorithmsdownloadable computer software for use in data processing, data labeling, feature engineering, predictive analytics, time series forecasting, and deep learningdownloadable computer software for use in predictive analytics, artificial intelligence, data processing, and automated decision-makingdownloadable computer software using artificial intelligence (AI) for introducing developers to large language model fundamentals, and generative AI to build applicationsdownloadable computer software using artificial intelligence (AI) for use in enabling others to build their own generative AI models using their own data and criteria
Classe 42
User interface (UI) designtechnical consulting services in the field of machine learning infrastructure, machine learning operations, and artificial intelligenceproviding information in the field of machine learning platform design and deploymentproviding online non-downloadable computer software platforms for use in data analysis in the field of machine learning, discovering, organizing, and synthesizing data for use in research and data analysis via machine learningproviding temporary use of non-downloadable software for designing, building, training, deploying, evaluating, managing, and operating machine learning modelsproviding temporary use of non-downloadable software for generative AI for developers to combine model prompts, generated text, and functions for text-based applicationsproviding temporary use of non-downloadable software for integrating machine learning models into production environmentsproviding temporary use of non-downloadable software for managing and accessing shared data features used in machine learning applicationsproviding temporary use of non-downloadable software for model versioning, model monitoring, model visualization, and automated machine learning (automl)providing temporary use of non-downloadable software for processing data, training machine learning models, and performing automated analyticsproviding temporary use of non-downloadable software for use by data scientists, engineers, and researchers in training, testing, and validating machine learning algorithmsproviding temporary use of non-downloadable software for use in data processing, data labeling, feature engineering, predictive analytics, time series forecasting, and deep learningproviding temporary use of non-downloadable software for use in predictive analytics, artificial intelligence, data processing, and automated decision-makingproviding temporary use of non-downloadable software using artificial intelligence (AI) for introducing developers to large language model fundamentals, and generative AI to build applicationsproviding temporary use of non-downloadable software using artificial intelligence (AI) for use in enabling others to build their own generative AI models using their own data and criteriaplatform as a service (PaaS) and software as a service (SaaS) featuring a machine learning operations (MLOps) platform for managing the end-to-end machine learning lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and visualizationplatform as a service (PaaS) featuring a cloud-based platform for designing, deploying, and managing machine learning models and artificial intelligence systemsPlatform-as-a-Service (PaaS) services featuring computer software platforms for machine learningPlatform-as-a-Service (PaaS) services featuring computer software platforms using artificial intelligence for machine learningPlatform-as-a-Service (PaaS) services featuring computer software platforms for discovering, organizing, and synthesizing data for use in research and data analysis via machine learningsoftware as a service (SaaS) featuring software for use in the development, testing, deployment, and management of machine learning systemsSoftware-as-a-Service (SaaS) featuring software for providing machine learning model quality metrics and analytics, namely, assessing, monitoring, and reporting the performance, accuracy, and reliability of machine learning modelsSoftware-as-a-Service (SaaS) services featuring software for use in data analysis in the field of machine learning, discovering, organizing, and synthesizing data for use in research and data analysis via machine learningSoftware-as-a-Service (SaaS) services featuring software using artificial intelligence for machine learningSoftware-as-a-Service (SaaS) services featuring software using artificial intelligence for creating text-based experiences by connecting prompts, data, and models in a user interface
Publicações
Histórico de despachos e eventos da marca no INPI.
3 publicações encontradas
IPAS768
Deferimento de designação
RPI 2896
07/07/2026
IPAS756
Publicação de pedido de registro para oposição (exame formal de designação concluído)
RPI 2861
04/11/2025
Uber Technologies, Inc. também protege tecnologia e design no INPI
76 pedidos de patente e 1 desenho industrial no mesmo titular.
Patentes
Desenhos industriais
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Outras marcas de Uber Technologies, Inc.
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