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How do you compress massive point cloud data into formats suitable for cloud sharing?

September 16, 2026 Digital Construction Podcast · Dominique Pouliquen

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The core principle is converting point clouds into 3D meshes and surfaces that match real-world continuous surfaces—solving the fundamental problem that point clouds appear as transparent 3D dots floating in space rather than solid objects. These compressed 3D meshes can be streamed directly in a web browser at full source resolution and converted back to point cloud format with virtually no data loss when needed.

From Transparent Dots to Solid Surfaces

Point clouds present a unique challenge: they capture millions of individual data points in 3D space, but those points don't represent continuous surfaces the way the real world does. When you view a raw point cloud, you're looking through empty space between the dots—it's difficult to interpret and consumes enormous amounts of storage and bandwidth.

The breakthrough approach is to reconstruct those point clouds as 3D meshes, converting discrete points into continuous surfaces. This transformation addresses two critical problems simultaneously. First, it enables dramatic data compression—reducing file sizes to manageable proportions for cloud distribution. Second, it makes the data far more intuitive to interpret, since you're now viewing actual surfaces rather than trying to mentally fill in the gaps between scattered points.

As Dominique Pouliquen explains in the Digital Construction Podcast episode, this mesh-based approach is fundamental to Cintoo's architecture. The technology was originally developed by PhDs from a French laboratory who recognized that the real world is made of continuous surfaces—you don't see through walls, floors, or ceilings. By honoring that physical reality in the data compression, the team solved both the storage problem and the usability problem in one step.

Streaming Without Compromise

The compression is only half the story. High-resolution 3D meshes can be streamed directly in a web browser using fast streaming technology, meaning stakeholders don't need specialized desktop software or powerful workstations to view the data. This democratization of access was so novel when Cintoo launched that the company earned the nickname "the Netflix for 3D data"—allowing anyone with a browser to stream and interact with high-fidelity 3D reconstructions at the full resolution of the original scans.

The technology also preserves reversibility: these compressed meshes can be converted back to point cloud format with virtually no information loss when specialized processing is required. This flexibility is critical in construction and engineering workflows, where different teams may need different representations of the same reality capture data.

"Point cloud is like a 3D dot in space. So you see through the dots. It's not continuous information. But the world we are looking at is made of surfaces. You don't see through the walls. So by turning point cloud into 3D surfaces, I was also pretty convinced that this would be a much easier way to interpret your point cloud data."

To understand how this compression strategy integrates into real-world construction workflows, you can listen to the full episode on Listenly, where Pouliquen also shares why this approach outpaced earlier desktop-centric solutions and how the platform has scaled to serve over 110,000 active users in construction, renovation, and facility management.

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