Vancouver, British Columbia, May 27 2025 -- ZenaTech, Inc. (“ZenaTech”), a technology company specializing in AI (Artificial Intelligence) drones, Drone as a Service (DaaS), Enterprise SaaS, and Quantum Computing solutions, today provides an update on its “Clear Sky” project, an R&D initiative soon to be released in a beta application version, that uses multiple AI drones in a drone swarm, and quantum computing for weather forecasting. The goal is to better predict localized weather including extreme weather events for business and government users, saving lives and billions of dollars.

In the coming months, ZenaTech plans to expand its quantum computing project team to 20 by adding at least ten additional specialized engineers. This will accelerate the development and upcoming beta release of Clear Sky in addition to furthering other internal quantum computing projects currently underway.

“Last year, there were 58 separate billion-dollar weather disasters globally, the second highest on record, which includes 27 in the US. Through the Clear Sky project, we will use AI-powered drone swarms and quantum computing to better predict these disasters and fill the critical atmospheric observation gaps of traditional weather data collection and satellite methods,” said CEO of ZenaTech Shaun Passley, Ph.D. “Drones with sensors flying at high altitudes can collect data in real time enabling greater spatial and temporal resolution resulting in more precise, up-to-the-minute weather insights to better anticipate the onset of extreme weather like tornadoes.”

AI-powered drone swarms are an emerging tool in meteorology, offering a transformative approach to weather forecasting by collecting real-time atmospheric data with unprecedented precision and spatial coverage. These multiple autonomous drones coordinate their movements using AI algorithms to sample different layers of the atmosphere simultaneously. Equipped with advanced sensors, they measure key variables such as temperature, humidity, wind speed, and pressure in hard-to-reach or dangerous areas like storm systems or remote regions. The data collected is transmitted in real time to forecasting models, improving the resolution and accuracy of predictions, especially for fast-evolving thunderstorms or tornadoes. By providing high-frequency, localized measurements, AI drone swarms significantly enhance the ability to detect early warning signs and refine short-term and local mesoscale forecasts.

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. Quantum computers can analyze vast and complex drone data much faster and more accurately, improving weather predictions and enhancing the ability to forecast extreme events.

There has been a steep rise in the number of billion-dollar weather disasters in recent years. In 2024, extreme weather events—including hurricanes, wildfires, floods, and severe storms—inflicted approximately $417 billion in losses globally according to Gallagher Re’s Natural Catastrophe and Climate Report.