AI drone platform and DaaS for enterprise inspection, monitoring, and compliance
ZenaTech operates a drone-as-a-service platform with enterprise SaaS components, spanning hardware (ZenaDrone), software (inspection and compliance tools), and post-production integration workflows. The tech stack reveals a company in transition: heavy reliance on desktop surveying tools (AutoCAD, Trimble, DJI Terra, CloudCompare) paired with RPA orchestration (UiPath, Blue Prism, Automation Anywhere), suggesting internal automation of legacy workflows. The hiring acceleration (38 roles in 30 days, weighted toward mid-level engineers and marketers) combined with active pain points around financial consistency across subsidiaries and federal program expansion signals a scaling-phase acquisition integration challenge.
Notable leadership hires: Lead Generator, Automation Lead, Survey Party Chief
ZenaTech is a publicly traded (Nasdaq: ZENA) technology company offering AI-powered drone hardware, drone-as-a-service delivery, and enterprise SaaS solutions for mission-critical inspection, monitoring, safety, compliance, and surveying. The company operates across seven global offices spanning North America, Europe, Taiwan, and the UAE, with primary verticals in law enforcement, government, industrial, agriculture, defense, and logistics. Revenue and growth are driven by both direct software licensing (branded solutions in government and enterprise) and managed drone services. The company is actively expanding through acquisitions and partnership networks, with particular focus on federal program adoption and international footprint extension.
ZenaDrone is the company's proprietary drone hardware and software platform. It powers inspection, monitoring, and surveying workflows for enterprise and government customers, with integration into post-production workflows.
ZenaTech is headquartered in Vancouver, British Columbia, Canada, and operates global offices in North America, Europe, Taiwan, and the UAE.
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ZenaTech Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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