Thinkbox Software has released Sequoia, a powerful standalone point mesher.

“The reception to Sequoia since we started previewing the technology last year has been tremendous,” says Chris Bond, founder, Thinkbox Software. “Our beta testers have been using it in exciting ways we’ve never dreamed, which has pushed us to make Sequoia even better. We’re thrilled to now bring it to market and for architects, designers, engineers and beyond to discover this new faster way of working.”

Running on both Microsoft Windows and Mac OS X platforms, Sequoia converts point cloud data from laser scanners, photogrammetry and other sources to geometry quickly and efficiently. Leveraging out-of-core asynchronous parallel processing, Sequoia easily handles large datasets exceeding system memory on a wide range of hardware including tablets, laptops and graphics workstations.

Through its native integration with Thinkbox’s Deadline compute management solution, Sequoia can also perform distributed processing using local network or cloud resources. For enhanced visualizations, 3D meshes can be textured through image projections.

Beta tester Larry Kleinkemper, CTO and lead modeler of Lanmar Services, tapped Sequoia for a project documenting buildings for historical reference. “Sequoia reduced the time it takes to get a model out of a point cloud,” he says. “Plus, it handled overhangs with no problem, whereas they are too complicated with other auto-extraction programs and we have no choice but to go in and model them manually. With Sequoia, it’s like a whole new way of working.”

About Thinkbox Software
Founded by Chris Bond in 2010, Thinkbox Software develops production-proven tools for visual artists and backs each product with responsive support. Used across entertainment, architecture, engineering and design, Thinkbox’s products include Deadline high-volume compute management software used to render, manage and process files locally and across the cloud as well as standalone point mesher Sequoia and particle renderer Krakatoa, which are used to create, visualize and modify massive datasets.