GELI GRIDBIDDER Trademark

Trademark Overview


On Thursday, July 31, 2025, a trademark application was filed for GELI GRIDBIDDER with the United States Patent and Trademark Office. The USPTO has given the GELI GRIDBIDDER trademark a serial number of 99314562. The federal status of this trademark filing is NEW APPLICATION - ASSIGNED TO EXAMINER as of Tuesday, December 16, 2025. This trademark is owned by Hanwha Solutions Corporation. The GELI GRIDBIDDER trademark is filed in the Computer & Software Services & Scientific Services category with the following description:

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-down...
geli gridbidder

General Information


Serial Number99314562
Word MarkGELI GRIDBIDDER
Filing DateThursday, July 31, 2025
Status638 - NEW APPLICATION - ASSIGNED TO EXAMINER
Status DateTuesday, December 16, 2025
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form
Published for Opposition DateNOT AVAILABLE

Trademark Statements


Pseudo MarkGELI GRID BIDDER
Goods and ServicesProviding 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 Information


International Class042 - Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software.
US Class Codes100, 101
Class Status Code6 - Active
Class Status DateFriday, August 1, 2025
Primary Code042
First Use Anywhere DateNOT AVAILABLE
First Use In Commerce DateNOT AVAILABLE

Trademark Owner History


Party NameHanwha Solutions Corporation
Party Type10 - Original Applicant
Legal Entity Type99 - Other
AddressSeoul 04541
KR

Trademark Events


Event DateEvent Description
Thursday, July 31, 2025NEW APPLICATION ENTERED
Thursday, July 31, 2025APPLICATION FILING RECEIPT MAILED
Tuesday, December 9, 2025NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Tuesday, December 16, 2025ASSIGNED TO EXAMINER