ZenaTech's Quantum Computing “Sky Traffic” Project Demonstrates High Accuracy in Initial Testing Leading to Expansion of Team and AI Drone Applications for Commercial and Defense

Core Insights - ZenaTech, Inc. has announced positive results from initial testing of its Quantum Computing Sky Traffic project, demonstrating high accuracy in weather predictions using AI algorithms and quantum computing [1][2][3] - The company plans to expand its internal team by hiring additional quantum, AI, and hardware engineers, focusing on recruiting from international physics facilities [2][3] - The Sky Traffic project aims to enhance weather forecasting and various commercial and defense applications by leveraging AI and quantum computing to process large data streams [3][4] Company Overview - ZenaTech specializes in AI drones, Drone as a Service (DaaS), enterprise SaaS, and Quantum Computing solutions, targeting mission-critical business applications [9] - The company has been developing its drone design and manufacturing capabilities since 2017, with applications in law enforcement, health, government, agriculture, defense, and logistics [9][10] - ZenaTech operates globally with seven offices across North America, Europe, Taiwan, and the UAE, and is expanding its DaaS business model and partner network [10] Product Details - The ZenaDrone 1000 is a multifunction autonomous drone designed for industrial and defense use, featuring a VTOL design, heavy lift capabilities, and advanced software technology [8][11] - AI drones are utilized in weather forecasting to gather real-time atmospheric data, which is then analyzed by quantum computers for improved prediction accuracy [5][6] - The integration of AI and quantum computing enhances the performance of defense drones, enabling faster data processing and improved mission effectiveness [6][7]