Core Insights - ZenaTech, Inc. has submitted the Green UAS application for its IQ Nano drone, aiming for inclusion in the pre-approved procurement list for US Defense and government buyers [1][2] - The company has completed its sixth acquisition of a US land survey company, Empire Land Surveying, to enhance its Drone as a Service (DaaS) rollout [1][3] Group 1: Green UAS Certification - Achieving Green UAS certification is a multi-month process and is essential for government buyers requiring secure, non-Chinese systems [2] - This certification is a precursor to the Blue UAS certification from the Department of Defense, which is necessary for sensitive government and military facilities [2] Group 2: Acquisition Strategy - The acquisition of Empire Land Surveying strengthens ZenaTech's presence in Northwest Florida and expands its capacity for drone-based services [3] - The company plans to complete approximately 20 more acquisitions in the next 12 months as part of its vision for a national DaaS business [6] Group 3: Product Features - The ZenaDrone IQ Nano is a compact AI drone designed for various inspections, featuring integrated sensors, high-quality cameras, and the ability to operate in fleets [4] - The drone weighs approximately 1.5 kg and has a flight time of at least 20 minutes, designed for stability and safety with obstacle avoidance capabilities [4] Group 4: DaaS Business Model - The DaaS model allows business and government customers to access drone services on a subscription or pay-per-use basis, eliminating the need for ownership and maintenance [5] - This model is aimed at transforming legacy tasks and processes across various sectors, including land surveying and inventory management [6] Group 5: Company Overview - ZenaTech specializes in AI drones, DaaS, enterprise SaaS, and Quantum Computing solutions, serving sectors such as law enforcement, health, government, and industrial applications [7] - The company operates through seven global offices and is expanding its DaaS business model and partner network [7]