Serial Number
98423696
Owner
Tranquility AI Inc.Attorney
Alexander SlafkoskyFiling Date
Feb 27, 2024
TRANQUILITY AI Trademark
Serial Number: 98423696
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Alexander Slafkosky Scale LLP
315 Montgomery Street, 10th Floor
San Francisco, CA 94104
United States
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