Trademark Search  /  TRANQUILITY AI

TRANQUILITY AI

○ Dead · Abandoned

U.S. federal trademark · Serial No. 98423696

Mark
TRANQUILITY AI
Status
Abandoned
Serial Number
98423696
Filing Date
February 27, 2024
Class(es)
Class 042

Owners

Tranquility AI Inc.
03 · Laurel, MD
Tranquility AI Inc.
03 · Laurel, MD

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

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Source: USPTO federal trademark records. Informational only, not legal advice. Status and details may lag the live USPTO database.