Serial Number
97737658
Owner
Manhattan Review, Inc.Attorney
Jess M. CollenFirst Use Date
Oct 24, 2022
Filing Date
Dec 30, 2022
TENZING Trademark
Serial Number: 97737658 • Registration: 7445917
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 41 - Education & Entertainment
Education; providing of training; entertainment; sporting and cultural activities
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Owner Contact Info
Legal Representation
Trademark Details
Filing Date
December 30, 2022
Registration Date
July 16, 2024
First Use Anywhere
October 24, 2022
First Use in Commerce
October 24, 2022
Published for Opposition
April 30, 2024
Goods & Services
Educational services, namely, developing curriculum for educators in the nature of a teaching framework curriculum for enhancing learning of students by selecting exercises, tracking past exercises, suggesting new ones which could be driven both by the aim to learn and solidify content as well as measure current state of knowledge, and guiding students on future workouts and practice all via machine learning algorithms to achieve quicker and more fundamental learning outcomes
Downloadable computer programs using artificial intelligence for enhancing learning of students by selecting exercises, in the nature of tracking past exercises, suggesting new ones which could be driven both by the aim to learn and solidify content as well as measure current state of knowledge, and guiding students on future workouts and practice all via machine learning algorithms to achieve quicker and more fundamental learning outcomes
Providing online non-downloadable software using artificial intelligence for enhancing learning of students by selecting exercises, in the nature of tracking past exercises, suggesting new ones which could be driven both by the aim to learn and solidify content as well as measure current state of knowledge, and guiding students on future workouts and practice all via machine learning algorithms to achieve quicker and more fundamental learning outcomes
