ROT Trademark

Trademark Overview

On Tuesday, January 18, 2022, a trademark application was filed for ROT with the United States Patent and Trademark Office. The USPTO has given the ROT trademark a serial number of 97225198. The federal status of this trademark filing is SU - REGISTRATION REVIEW COMPLETE as of Thursday, December 12, 2024. This trademark is owned by ASK2.AI, INC.. The ROT trademark is filed in the Insurance & Financial Services category with the following description:

Financial services, namely, analysis and management of financial investment portfolios; providing information and analysis relating to financial investments based on machine learning; financial investment data analysis
rot

General Information

Serial Number97225198
Word MarkROT
Filing DateTuesday, January 18, 2022
Status819 - SU - REGISTRATION REVIEW COMPLETE
Status DateThursday, December 12, 2024
Registration Number0000000
Registration DateNOT AVAILABLE
Mark Drawing4 - Illustration: Drawing with word(s) / letter(s) / number(s) in Block form
Published for Opposition DateTuesday, June 6, 2023

Trademark Statements

Goods and ServicesFinancial services, namely, analysis and management of financial investment portfolios; providing information and analysis relating to financial investments based on machine learning; financial investment data analysis

Classification Information

International Class036 - Insurance; financial affairs; monetary affairs; real estate affairs.
US Class Codes100, 101, 102
Class Status Code6 - Active
Class Status DateMonday, January 24, 2022
Primary Code036
First Use Anywhere DateWednesday, January 25, 2023
First Use In Commerce DateWednesday, January 25, 2023

Trademark Owner History

Party NameASK2.AI, INC.
Party Type21 - New Owner After Publication
Legal Entity Type03 - Corporation
AddressDELRAY BEACH, FL 33446
Party NameNOT AVAILABLE
Party Type20 - Owner at Publication
Legal Entity Type01 - Individual
AddressNew York, NY 10025
Party NameNOT AVAILABLE
Party Type10 - Original Applicant
Legal Entity Type01 - Individual
AddressNew York, NY 10025

Trademark Events

Event DateEvent Description
Friday, January 21, 2022NEW APPLICATION ENTERED
Monday, January 24, 2022NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Saturday, October 22, 2022ASSIGNED TO EXAMINER
Sunday, October 23, 2022NON-FINAL ACTION WRITTEN
Sunday, October 23, 2022NON-FINAL ACTION E-MAILED
Sunday, October 23, 2022NOTIFICATION OF NON-FINAL ACTION E-MAILED
Tuesday, April 4, 2023TEAS RESPONSE TO OFFICE ACTION RECEIVED
Tuesday, April 4, 2023CORRESPONDENCE RECEIVED IN LAW OFFICE
Wednesday, April 5, 2023TEAS/EMAIL CORRESPONDENCE ENTERED
Wednesday, May 3, 2023APPROVED FOR PUB - PRINCIPAL REGISTER
Wednesday, May 17, 2023NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Tuesday, June 6, 2023PUBLISHED FOR OPPOSITION
Tuesday, June 6, 2023OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Tuesday, August 1, 2023NOA E-MAILED - SOU REQUIRED FROM APPLICANT
Thursday, February 1, 2024SOU TEAS EXTENSION RECEIVED
Thursday, February 1, 2024SOU EXTENSION 1 FILED
Thursday, February 1, 2024SOU EXTENSION 1 GRANTED
Saturday, February 3, 2024NOTICE OF APPROVAL OF EXTENSION REQUEST E-MAILED
Wednesday, February 21, 2024AUTOMATIC UPDATE OF ASSIGNMENT OF OWNERSHIP
Wednesday, March 6, 2024USE AMENDMENT FILED
Wednesday, March 6, 2024TEAS STATEMENT OF USE RECEIVED
Monday, March 25, 2024CASE ASSIGNED TO INTENT TO USE PARALEGAL
Thursday, March 28, 2024STATEMENT OF USE PROCESSING COMPLETE
Sunday, April 21, 2024SU - NON-FINAL ACTION - WRITTEN
Sunday, April 21, 2024NON-FINAL ACTION E-MAILED
Sunday, April 21, 2024NOTIFICATION OF NON-FINAL ACTION E-MAILED
Wednesday, July 17, 2024TEAS RESPONSE TO OFFICE ACTION RECEIVED
Wednesday, October 23, 2024TEAS/EMAIL CORRESPONDENCE ENTERED
Wednesday, October 23, 2024CORRESPONDENCE RECEIVED IN LAW OFFICE
Thursday, October 24, 2024ASSIGNED TO LIE
Thursday, December 12, 2024NOTICE OF ACCEPTANCE OF STATEMENT OF USE E-MAILED
Thursday, December 12, 2024ALLOWED PRINCIPAL REGISTER - SOU ACCEPTED

Related Keywords

financial analysis investment based investments machine data learning relating providing