Drone Map of Lilac Row Farms Inc Trinity United Church in Kingsville, Ontario, Canada

AerialTwin is designed for mapping, photogrammetry, construction progress, infrastructure documentation, and site monitoring workflows where a single drone model is not enough. Instead of treating each model or orthomosaic as a separate deliverable, AerialTwin lets you organize models into a timeline so clients, teams, and stakeholders can see how a property, project, or asset changes over time.

This is useful when you capture the same site repeatedly. Each imported point cloud, 3D model, map, or orthomosaic can become part of a dated site history. Users can move through the timeline, compare older and newer models, review what changed, and keep visual records tied to the actual location.

AerialTwin allows drone models to become the visual foundation for site monitoring. After a point cloud, map, orthomosaic, or 3D model is imported, sensors can be placed in the context of the site so users can understand where data is coming from and how conditions are changing between flights.

This is valuable because drone captures are periodic, while site conditions can change continuously. By attaching sensors to imported models, AerialTwin can help bridge the gap between drone flights. A user can review the latest model, see where sensors are located, monitor changing values, and configure alerts around conditions that matter for the site.

AerialTwin lets users add context directly onto drone models instead of keeping important site information scattered across emails, folders, inspection notes, text messages, or separate photo libraries. A note can be tied to a specific location on a point cloud, 3D model, map, or orthomosaic, and it can also be tied to a specific point in the site's timeline.

This matters for monitoring because the drone model shows what the site looked like at the time of capture, while attached notes, photos, and videos explain what was observed, why it mattered, and what follow-up may be needed. Instead of only viewing geometry or imagery, teams can build a living record of field observations directly on top of the site data.