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What is Vecten Desktop?

Vecten Desktop is a dedicated application aimed at classifying LiDAR point clouds produced from both airborne and UAV surveys. It optimizes workflows by organizing tasks into local projects and blocks, supporting LAS, LAZ, and COPC file formats, and creates classified point clouds that include review layers and attributes for validation and future transfer. The software incorporates VGround for detecting ground surfaces, bridge decks, and noise, while VClassify is tailored for identifying vegetation and buildings; in addition, VUtilities specializes in addressing utility corridors, focusing on wires, poles, and towers. Surveying, mapping, engineering, and utility teams can select from different modules that cater to their specific requirements for terrain extraction, semantic classification, infrastructure assessment, or corridor asset management. The classification is conducted efficiently on local workstations, thus removing the necessity for cloud-based uploads for processing. Future developments include Vecten Cloud, a planned browser-based companion tool, and users interested in this feature can sign up for the waitlist for upcoming access. This initiative demonstrates a strong commitment to improving both accessibility and functionality, ensuring that users from diverse sectors can benefit from advanced classification tools. As the software evolves, it aims to integrate more features that enhance user experience and meet the growing demands of the industry.

What is BIM Classify?

By leveraging our digital twin platform, Twinit.io, BIM Classify acts as a crucial component for your digital twin projects. This collaborative software, hosted in the cloud, includes authoring tool plug-ins that enable modelers to classify their models' contents both accurately and consistently. You can design and manage custom classification systems tailored to your specific needs, while also creating equivalencies between varying classification systems as needed. These plug-ins facilitate valuable suggestions for BIM authoring tools, promoting alignment among team members when classifying elements, which ultimately deepens your insight into your models. Utilizing BIM for diverse workflows such as estimating, planning, or digital twin development allows you to glean even more value from your data. Administrators can set up classification systems, mapping rules, and equivalences through the BIM Classify web application, while modelers gain from the BIM Classify Revit plugin, which supports uniform and precise classification efforts. Furthermore, recipients of BIM data are equipped with dependable insights for estimates, quantity takeoffs, asset management, and much more, leading to streamlined project execution and improved teamwork across different departments. With BIM Classify, you enhance the consistency and accuracy of your projects, fostering superior decision-making and better overall project results, which ultimately contributes to a more efficient workflow. This platform not only ensures effective management of classification but also paves the way for innovation in digital twin applications.

Media

Media

Integrations Supported

Integrations Supported

Revit

API Availability

API Availability

Pricing Information

Vecten Desktop is enterprise-licensed, with licensing available on request.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Vecten AI

Date Founded

2026

Company Location

Canada

Company Website

www.vecten.ai

Company Facts

Organization Name

Invicara

Company Location

United States

Company Website

invicara.com/platform/products/bim-classify

Categories and Features

LiDAR

Not specified

Categories and Features

BIM

Not specified

Digital Twin

Not specified

Subcontractor

Not specified

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