VANCOUVER, British Columbia, February 19, 2025 -- ZenaTech, Inc. ("ZenaTech"), a technology company specializing in AI (Artificial Intelligence) drones, Drone as a Service (DaaS), enterprise SaaS and Quantum Computing solutions, announces positive results from initial testing and an update on its Quantum Computing Sky Traffic project. An initial test using the Company’s AI algorithms and quantum computing to predict weather has resulted in a high level of accuracy for the parameters tested including actual temperatures verses predicted temperatures in the test which used 2016 data.

Due in part to these encouraging results, ZenaTech is now growing its internal team over the next two months. As part of the ramp up, the Company is adding additional quantum, AI and hardware engineers, and optimization specialists and is engaged in recruiting staff from physics facilities at international universities, including researchers, instructors, and Ph.D. candidates.

“The Sky Traffic project leverages AI and quantum computing to process vast data streams to improve the accuracy and speed of weather forecasting that can also apply to the innovation of many other commercial and defense applications utilizing drones. Our hiring strategy focuses on assembling a multidisciplinary team of quantum and AI specialists, and hardware and aerospace engineers to help us revolutionize autonomous drones. By combining quantum algorithms with advanced machine learning, we can optimize navigation, decision-making, and real-time data processing for next-generation aerial intelligence,” said CEO Shaun Passley, Ph.D.

ZenaTech launched the Sky Traffic project in November 2024, which will utilize its AI drones, quantum computing, and specialized quantum and AI teams to develop and test advanced applications for traffic management, weather forecasting, wildfire management and defense applications using large datasets, Amazon Web Services, and computing devices and platforms.

AI Drones are used in weather forecasting to collect real-time atmospheric data from hard-to-reach areas, such as storm systems or remote regions, providing valuable input for weather models. Quantum computers can then analyze this vast and complex data much faster and more accurately, improving weather predictions and enhancing the ability to forecast extreme events like hurricanes, tornadoes, or wildfires.

AI and quantum computing can work together to make defense drones smarter, faster, and more efficient using a single drone or a swarm of multiple drones. AI helps drones analyze data, recognize objects, and make decisions on their own, while quantum computing can process massive amounts of information much faster than regular computers. For example, a defense drone using AI can detect enemy movement, but adding quantum computing allows it to analyze complex battlefield data instantly and find the best flight path or strategy in real time. This combination improves reaction speed, mission accuracy, and overall drone performance, making them more effective for surveillance, reconnaissance, and security operations.

Quantum computing is an emergent field of cutting-edge computer science harnessing the unique qualities of quantum mechanics to solve problems beyond the ability of even the most powerful classical computers of today, to process massively complicated mathematical problems and data at orders of magnitude faster speeds.

The ZenaDrone 1000 is a multifunction autonomous drone, in a VTOL (Vertical Takeoff and Landing) quadcopter design with eight rotors; it is considered a medium-sized drone measuring 12X7 feet in size. It is designed for stable flight, maneuverability, heavy lift capabilities up to 40 kilos, incorporating innovative software technology, AI, sensors, and purpose-built attachments, along with compact and rugged hardware engineered for industrial and defense use for a variety of inspection, surveillance or tracking applications.