Trademark Overview
On Wednesday, February 4, 2026, a trademark application was filed for GIMME with the United States Patent and Trademark Office. The USPTO has given the GIMME trademark a serial number of 99634495. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Wednesday, February 4, 2026. This trademark is owned by Stodge Inc.. The GIMME trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
Software as a service (SaaS) featuring artificial intelligence (AI) agents functioning as personal shopping assistants for analyzing product catalogs and commerce data and providing personalized shopping recommendations and purchase decision insights; Providing an online platform featuring artificial intelligence (AI) agents for deploying, operating, configuring, and managing personal shopping agents and workflows in e-commerce systems and across digital commerce interfaces; Providing temporary use of non-downloadable software for the automated and continuous A/B testing of SMS marketing campaigns; Software as a service (SaaS) services featuring software for analyzing and optimizing SMS marketing copy, voices, and combinations through artificial intelligence; Providing a cloud-based platform for businesses to test and refine SMS marketing strategies using machine learning algorithms
Downloadable computer software featuring artificial intelligence (AI) agents functioning as personal shopping assistants for analyzing product information and providing personalized product recommendations and purchase decision support in e-commerce environments; Downloadable computer software for the automated and continuous A/B testing of SMS marketing campaigns; Downloadable computer software for analyzing and optimizing SMS marketing copy, voices, and combinations through artificial intelligence; Downloadable computer software for testing and refining SMS marketing strategies using machine learning algorithms