TRANQUILITY AI Trademark

Downloadable computer application software for mobile phones, namely, 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; Downloadable computer application software for mobile phones, namely, 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; Downloadable computer application software for mobile phones, namely, 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; Downloadable 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; Downloadable 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; Downloadable 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