The software, designed to improve accuracy and costs across the construction lifecycle, will be jointly developed and offered through its Drone as a Service and Enterprise SaaS divisions. ZenaWorx uses drone-captured LiDAR data to create a detailed 3D digital map of a construction site that is used to track ongoing construction progress and identify deviations from planned design. The company has identified a potential beta customer about to begin a several hundred-acre AI data center construction project that it has targeted to use in the development of this service and is currently at the negotiation stage.

"The AI data center market is experiencing unprecedented expansion as an important growth market for drone-powered surveying, analytics, and construction monitoring solutions," said Shaun Passley, Ph.D., CEO of ZenaTech. "With the development of ZenaWorx we plan to support construction and infrastructure operators with advanced aerial data collection, LiDAR-based 3D analytics, and a scalable subscription-based service designed to improve visibility, efficiency, and cost-effectiveness of project execution throughout the construction lifecycle."

ZenaWorx is an Enterprise SaaS offering, also intended to be incorporated into Drone as a Service jobs, focused on processing drone and LiDAR-captured data and transforming it into visual, analytics-driven construction progress insights. The software, currently in early-stage development, is intended to support standardized reporting and performance tracking across construction projects, with broader applications expected to be explored over time.

The offering will use of LiDAR-enabled aerial data capture to monitor construction progress across large-scale sites with high precision. LiDAR drone sensors use laser-based scanning to generate a highly accurate 3D representation of physical environments, allowing project teams to measure terrain, track elevation changes, and compare real-world construction progress against design specifications across the entire construction lifecycle.

The North American AI data center market is growing at 30% CAGR until 2030 according to Mordor Intelligence while the sector is experiencing a global infrastructure investment super cycle according to JLL research. This expansion is being driven by accelerating demand for AI computer infrastructure and hyperscale cloud deployment. Within this environment, large-scale AI data center construction projects typically require 12 to 36 months to complete, involving significant earthworks, grading, and multi-phase infrastructure coordination.

VDC progress monitoring, surveying, and digital site intelligence solutions represent an increasingly important enabling layer within the broader data center development ecosystem, supporting improved scheduling accuracy, cost control, and capital efficiency across complex building projects.