About this organization

Organization Information : Founded in 2021, When we started SpatialData.AI, we saw a critical problem in the industry: data collection companies usually focus solely on collecting and delivering raw data, leaving engineering firms, telecom, and electric utility companies with datasets that are not immediately or easily usable. The impact? Engineering firms purchased LiDAR data but struggled to use it effectively. Some attempted to process the data, but without the necessary expertise, hardware or software, they couldn’t achieve the expected results despite their investment. Others avoided the technology altogether due to its complexity. As a result, both data providers and potential users faced significant frustration with the disruption associated with adopting a new technology. We heard your frustrations and developed processes to deliver highly complex datasets in a format that matches your existing standards, software, ... and ways of working. ​ Our advanced technology powered by machine learning bridges the gap, transforming raw 3D data into highly accurate Design-Centric Digital Twins and CAD/GIS drawings, ready for immediate use. Today, we’re proud to lead the charge in making spatial data truly work for the industries that need it most. And we’re just getting started.

Other Information: Founded in 2021, SpatialData.AI, officially known as Spatial Data Analytics Inc., is a Canadian company and headquartered in Concord, Ontario. Specializing in advanced spatial data analytics, the company leverages machine learning and computer vision to process vast amounts of 3D data and optical sensor inputs. Their flagship offering, the "Design-Centric Digital Twin," provides highly accurate 3D models tailored for utility and telecom infrastructure, facilitating tasks such as clearance measurements, structural analysis, and vegetation management. By automating the conversion of LiDAR and imagery into vector topographic and utility pole attachment drawings, SpatialData.AI supports design and structural analysis for distribution networks and broadband designs. Their cloud-based platform enables clients to access detailed 3D measurements and contextual visualizations, enhancing decision-making and operational efficiency.