Legal Representation
Attorney
Boris Umansky
Application History
2 events| Date | Code | Type | Description | Documents |
|---|---|---|---|---|
| Jul 31, 2025 | MAFR | O | APPLICATION FILING RECEIPT MAILED | Loading... |
| Jul 31, 2025 | NWAP | I | NEW APPLICATION ENTERED | Loading... |
Detailed Classifications
Class 042
Providing temporary use of on-line non-downloadable software for using machine learning algorithms to optimize energy storage systems, reduce operational costs, increase energy market revenues, and automate participation in electricity markets; Providing temporary use of on-line non-downloadable software for managing distributed energy resources, forecasting energy loads, and enabling real-time energy trading and bidding; Providing temporary use of on-line non-downloadable software for providing predictive analytics and automated decision-making for energy storage and grid services; Providing temporary use of on-line non-downloadable software for integration with field devices and measurement systems to ensure performance monitoring and ROI optimization; Providing temporary use of on-line non-downloadable software for integrating with field devices and measurement systems to enable performance monitoring and return-on-investment optimization; Providing temporary use of on-line non-downloadable software for providing high-accuracy forecasting of energy load and on-site power generation using machine learning algorithms trained on historical energy data; Providing temporary use of on-line non-downloadable software for forecasting energy loads and on-site power generation using machine learning models trained on historical energy data; Providing temporary use of on-line non-downloadable software for integrating intelligent analytics with field-deployed energy assets to support continuous performance monitoring, measurement, and verification to optimize return on investment; Providing temporary use of on-line non-downloadable software for real-time synchronization of energy asset data with cloud-based intelligence to ensure operational and financial performance; Providing temporary use of on-line non-downloadable software for managing energy performance through asset-level integration and continuous data-driven verification; Software as a service (SAAS) services featuring software for using machine learning algorithms to optimize energy storage systems, reduce operational costs, increase energy market revenues, and automate participation in electricity markets; Software as a service (SAAS) services featuring software for managing distributed energy resources, forecasting energy loads, and enabling real-time energy trading and bidding; Software as a service (SAAS) services featuring software for providing predictive analytics and automated decision-making for energy storage and grid services; Software as a service (SAAS) services featuring software for integration with field devices and measurement systems to ensure performance monitoring and ROI optimization; Software as a service (SAAS) services featuring software for integrating with field devices and measurement systems to enable performance monitoring and return-on-investment optimization; Software as a service (SAAS) services featuring software for providing high-accuracy forecasting of energy load and on-site power generation using machine learning algorithms trained on historical energy data; Software as a service (SAAS) services featuring software for forecasting energy loads and on-site power generation using machine learning models trained on historical energy data; Software as a service (SAAS) services featuring software for integrating intelligent analytics with field-deployed energy assets to support continuous performance monitoring, measurement, and verification to optimize return on investment; Software as a service (SAAS) services featuring software for real-time synchronization of energy asset data with cloud-based intelligence to ensure operational and financial performance; Software as a service (SAAS) services featuring software for managing energy performance through asset-level integration and continuous data-driven verification
Classification
International Classes
042