Mark For: TENZING™ trademark registration is intended to cover the categories of
Research | OneLook Acronym Finder |
Serial Number | 97737658 |
Mark Literal Elements | TENZING |
Mark Drawing Type | 4 - STANDARD CHARACTER MARK |
Mark Type | Service Mark |
Current Location | NEW APPLICATION PROCESSING 2023-01-03 |
Basis | 1(a) |
Class Status | ACTIVE |
Primary US Classes |
|
Primary International Class |
|
Filed Use | Yes |
Current Use | Yes |
Intent To Use | No |
Filed ITU | No |
44D Filed | No |
44E Current | No |
66A Current | No |
Current Basis | No |
No Basis | No |
Attorney Name | Jess M. Collen |
Attorney Docket Number | 5125-0104 |
2022-10-24 | Date of First Use |
2022-10-24 | Date of Use In Commerce |
2022-12-30 | Application Filed |
2023-01-03 | Location: NEW APPLICATION PROCESSING |
2023-01-03 | Status: Live/Pending |
2023-01-03 | Status: New application awaiting assignment to an examining attorney. See current trademark processing wait times for more information. |
2023-01-03 | Transaction Date |
Party: | Manhattan Review, Inc. |
Address | 2 Park Ave Ste 2010 New York, NEW YORK UNITED STATES 100165675 |
Legal Entity Type | Corporation |
Legal Entity State | NEW YORK |
Application | 2022-12-30 | |
Drawing | 2022-12-30 |
International Codes: | 9 |
U.S. Codes: | 021,038,026,023,036 |
International Codes: | 41 |
U.S. Codes: | 100,101,107 |
International Codes: | 42 |
U.S. Codes: | 100,101 |
Type Code | Type |
---|---|
GS0411 | Providing a teaching framework that enhances learning of students by selecting exercises via machine learning algorithms to achieve quicker and more fundamental learning outcomes. The method consists 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 |
GS0411 | 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 |
Description | Date | Proceeding Number |
---|---|---|
NEW APPLICATION ENTERED IN TRAM | 2023-01-03 |
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