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Tulsalabs Creates Partnerships with Touchpoint (TGHI) and GTX Corp (GTXO) – AI VentureTech

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As head strategic advisor, AI Venturetech has been instrumental in guiding TulsaLabs, a division of Appswarm (OTC:SWRM), in building their next generation technology research lab in Tulsa, OK. Although still in development stage, TulsaLabs has moved forward with its first clients to begin expanding its technological reach into areas such as wearables, AI, and new urban transportation. TulsaLabs will utilize data generated from GTXO wearable devices and sensors to develop cloud-based analytics that will monitor and analyze a user's health data through long-term dataset development utilizing artificial intelligence. This platform data will allow users to detect potential trends that can be offset with lifestyle adjustments to prevent the onset of some of the most common metabolic diseases such as diabetes, heart disease, and obesity. Combined together, GTXO and SWRM look to break into the exciting life extension market as emerging player in the wearable industry.


TulsaLabs To Develop Personalized Health Analytics Utilizing Artificial Intelligence

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AppSwarm, Corp. a software development company and aggregator of mobile applications, announced it has been retained by GTX Corp a pioneer in wearable technology and the health and safety wearable device market, to develop'health analytics' utilizing artificial intelligence (A.I.) to assist in potentially extending the human life span. Health data analytics, also known as clinical data analytics, involves the extrapolation of actionable insights from sets of patient data, typically collected from electronic devices, such as wearables. Wearables can be employed from different body parts such as head-based, foot-based, eye-based, and wrist-based. Some examples of wearable data include steps taken, food and water intake, calories burned, sleep movement, and breathing. TulsaLabs will utilize data generated from wearable devices and sensors to develop cloud-based analytics that will monitor and analyze a user's health data through long-term dataset development, utilizing artificial intelligence.