TRANQUILITY AI
DEAD

Serial Number

98423696

Owner

Tranquility AI Inc.

Attorney

Alexander Slafkosky

Filing Date

Feb 27, 2024

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TRANQUILITY AI Trademark

Serial Number: 98423696

TRANQUILITY AI is a trademark filed by Tranquility AI Inc. on February 27, 2024. The trademark is classified under Class 42 (Computer & Scientific). The application is currently no longer active.

Owner Contact Info

Tranquility AI Inc. (24 trademarks)

320 Main St., STE 2A
Laurel, MD 20707

Entity Type: 03

Trademark Details

Filing Date

February 27, 2024

Registration Date

Not Registered

Published for Opposition

April 22, 2025

Goods & Services

Platform as a service (PAAS) featuring computer software platforms for detecting, investigating, or prosecuting crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Platform as a service (PAAS) featuring computer software platforms for investigating organized retail crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Platform as a service (PAAS) featuring computer software platforms for screening individuals for employment, security clearance, rental, customer relationship, or service provider relationship, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Providing a website featuring technology that enables users to detect, investigate, or prosecute crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Providing a website featuring technology that enables users to investigate organized retail crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Providing a website featuring technology that enables users to screen individuals for employment, security clearance, rental, customer relationship, or service provider relationship, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Providing temporary use of non-downloadable cloud-based software for detecting, investigating, or prosecuting crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Providing temporary use of non-downloadable cloud-based software for investigating organized retail crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Providing temporary use of non-downloadable cloud-based software for screening individuals for employment, security clearance, rental, customer relationship, or service provider relationship, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Software as a service (SAAS) services featuring software for detecting, investigating, or prosecuting crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Software as a service (SAAS) services featuring software for investigating organized retail crime, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events; Software as a service (SAAS) services featuring software for screening individuals for employment, security clearance, rental, customer relationship, or service provider relationship, namely, using data analytics and large language models (LLMs) on multi-modal datasets to identify people, places, and things, detect relationships and events over time between the people, places, and things, and generate timelines based on the relationships and events

Filing History

ABANDONMENT NOTICE E-MAILED - NO USE STATEMENT FILED
Jan 19, 2026 MAB6
ABANDONMENT - NO USE STATEMENT FILED
Jan 19, 2026 ABN6
NOA E-MAILED - SOU REQUIRED FROM APPLICANT
Jun 17, 2025 NOAM
OFFICIAL GAZETTE PUBLICATION CONFIRMATION E-MAILED
Apr 22, 2025 NPUB
PUBLISHED FOR OPPOSITION
Apr 22, 2025 PUBO
NOTIFICATION OF NOTICE OF PUBLICATION E-MAILED
Apr 16, 2025 NONP
APPROVED FOR PUB - PRINCIPAL REGISTER
Mar 24, 2025 CNSA
EXAMINER'S AMENDMENT ENTERED
Mar 24, 2025 XAEC
NOTIFICATION OF EXAMINERS AMENDMENT E-MAILED
Mar 24, 2025 GNEN
EXAMINERS AMENDMENT E-MAILED
Mar 24, 2025 GNEA
EXAMINERS AMENDMENT -WRITTEN
Mar 24, 2025 CNEA
TEAS/EMAIL CORRESPONDENCE ENTERED
Feb 5, 2025 TEME
CORRESPONDENCE RECEIVED IN LAW OFFICE
Feb 4, 2025 CRFA
TEAS RESPONSE TO OFFICE ACTION RECEIVED
Feb 4, 2025 TROA
NOTIFICATION OF EXAMINER'S AMENDMENT/PRIORITY ACTION E-MAILED
Nov 4, 2024 GEAN
EXAMINER'S AMENDMENT/PRIORITY ACTION E-MAILED
Nov 4, 2024 GEAP
COMBINED EXAMINER'S AMENDMENT/PRIORITY ACTION AUTOMATIC ENTRY
Nov 4, 2024 EPEN
EXAMINERS AMENDMENT AND/OR PRIORITY ACTION - COMPLETED
Nov 4, 2024 CPEA
ASSIGNED TO EXAMINER
Aug 30, 2024 DOCK
NOTICE OF DESIGN SEARCH CODE E-MAILED
Jul 8, 2024 MDSC
NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
Jul 8, 2024 NWOS
NEW APPLICATION ENTERED
Feb 27, 2024 NWAP