MICHELANGELO AI

Classe 9 — Tecnologia

Downloadable computer programs for user interface design; downloadable software development kits (SDKs) and application programming interfaces (APIs) for use in connection with machine learning systems; downloadable computer software for designing, building, training, deploying, evaluating, managing, and operating machine learning models; downloadable computer software for generative AI for developers to combine model prompts, generated text, and functions for text-based applications; downloadable computer software for integrating machine learning models into production environments; downloadable computer software for managing and accessing shared data features used in machine learning applications; downloadable 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 analytics; downloadable computer software for use by data scientists, engineers, and researchers in training, testing, and validating machine learning algorithms; downloadable computer software for use in data processing, data labeling, feature engineering, predictive analytics, time series forecasting, and deep learning; downloadable computer software for use in predictive analytics, artificial intelligence, data processing, and automated decision-making; downloadable computer software using artificial intelligence (AI) for introducing developers to large language model fundamentals, and generative AI to build applications; downloadable 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 — Software e TI

User interface (UI) design; technical consulting services in the field of machine learning infrastructure, machine learning operations, and artificial intelligence; providing information in the field of machine learning platform design and deployment; providing 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 learning; providing temporary use of non-downloadable software for designing, building, training, deploying, evaluating, managing, and operating machine learning models; providing temporary use of non-downloadable software for generative AI for developers to combine model prompts, generated text, and functions for text-based applications; providing temporary use of non-downloadable software for integrating machine learning models into production environments; providing temporary use of non-downloadable software for managing and accessing shared data features used in machine learning applications; providing 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 analytics; providing temporary use of non-downloadable software for use by data scientists, engineers, and researchers in training, testing, and validating machine learning algorithms; providing temporary use of non-downloadable software for use in data processing, data labeling, feature engineering, predictive analytics, time series forecasting, and deep learning; providing temporary use of non-downloadable software for use in predictive analytics, artificial intelligence, data processing, and automated decision-making; providing temporary use of non-downloadable software using artificial intelligence (AI) for introducing developers to large language model fundamentals, and generative AI to build applications; providing 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 criteria; platform 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 visualization; platform as a service (PaaS) featuring a cloud-based platform for designing, deploying, and managing machine learning models and artificial intelligence systems; Platform-as-a-Service (PaaS) services featuring computer software platforms for machine learning; Platform-as-a-Service (PaaS) services featuring computer software platforms using artificial intelligence for machine learning; Platform-as-a-Service (PaaS) services featuring computer software platforms for discovering, organizing, and synthesizing data for use in research and data analysis via machine learning; software as a service (SaaS) featuring software for use in the development, testing, deployment, and management of machine learning systems; Software-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 models; Software-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 learning; Software-as-a-Service (SaaS) services featuring software using artificial intelligence for machine learning; Software-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.;