Trademark Overview
On Thursday, November 21, 2024, a trademark application was filed for MELELEM with the United States Patent and Trademark Office. The USPTO has given the MELELEM trademark a serial number of 98865334. The federal status of this trademark filing is NEW APPLICATION - RECORD INITIALIZED NOT ASSIGNED TO EXAMINER as of Thursday, November 21, 2024. This trademark is owned by Melelem, Inc.. The MELELEM trademark is filed in the Computer & Software Products & Electrical & Scientific Products and Computer & Software Services & Scientific Services categories with the following description:
downloadable computer programs and downloadable computer software for machine-learning based language and speech processing software; downloadable computer programs and downloadable computer software for natural language processing, generation, understanding and analysis; downloadable computer programs and downloadable computer software featuring artificial intelligence for facial and speech recognition, use in database management and machine learning; Downloadable computer programs and downloadable computer software for the artificial production of human speech and text; downloadable computer chatbot software for simulating conversations
providing online non-downloadable software for natural language processing, generation, understanding and analysis; providing online non-downloadable software for machine-learning based language and speech processing; providing online non-downloadable software for creating and generating text; research, design and development of computer programs and software.; Providing online non-downloadable software for the artificial production of human speech and text; research and development services in the field of artificial intelligence technology; providing online non-downloadable chatbot software for simulating conversations; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for facial and speech recognition, use in database management and machine learning