Point Cloud Processing Services for the GCC

We start by checking what you have sent: coverage, overlap, control points and coordinate system. Scans are then registered and georeferenced, noise and moving objects are removed, and the cloud is classified into ground, buildings, vegetation and other classes using AI-assisted tools. A senior specialist reviews the result before any modelling starts, so problems are caught early rather than discovered by your designers.

From the finished cloud we can produce terrain models, 2D drawings, 3D meshes or scan to BIM models, depending on what the end user needs.

Processing is skilled, time-consuming work that peaks and dips with your project pipeline. Outsourcing lets your field team keep capturing while the backlog is cleared, without hiring for short-term peaks. Our AI-native workflow means we do not rely on large teams, which helps keep turnaround consistent. Turnaround is agreed upfront and depends on project size; we respond to enquiries within one business day.

Processed data is only useful if you can trust it. Every dataset we deliver goes through a structured check covering registration quality, coverage, classification and the accuracy of any derived models. Where problems are found in the source data, such as missing scans, poor overlap or unclear control, we tell you early and explain the options rather than hiding the issue in the final product.

We also adapt to how your team works. If you have preferred classification codes, layer names, templates or coordinate systems, we follow them so the output drops straight into your existing workflow. For regular clients we set up a repeatable process, which makes future projects faster to start and easier to check. Whether you send a single building scan or a large corridor survey, the same principles apply: clear scope, careful processing, senior review and honest reporting, so your own field team can stay focused on capture.