DataSight is a US-based geospatial software company specializing in the processing and analysis of point cloud data. Their cloud-based platform is designed to work with point clouds generated from any collection methodology, allowing users to efficiently extract valuable spatial information from large-scale mapping datasets.
DataSight's core capability is the automated extraction of breaklines—linear features that define the shape of topography—from raw point cloud data. This process is powered by their proprietary, patent-pending data compression algorithm. The extraction and compression of breaklines drastically reduce the storage and memory requirements compared to managing full point clouds, while still maintaining an accurate representation of ground surfaces. This makes high-resolution LiDAR and mapping data more usable, actionable, and cost-efficient for organizations that rely on modern geospatial analysis.
How Was DataSight Started?
DataSight was founded by a team with expertise in software development and geospatial technology: Kurt Whorton (CEO), Ash Eldritch (CTO), David Walden (CFO), and Luke Bingham (VP). The company is privately held and headquartered in Las Vegas, Nevada. Their leadership brings together experience in technology innovation and business operations, enabling DataSight to address complex challenges in the geospatial industry.
Who Uses DataSight?
While specific customer names are not publicly listed, DataSight's platform is most relevant to organizations that handle large volumes of mapping data, such as engineering firms, surveyors, infrastructure planners, and government agencies. These clients benefit from the company's ability to make point cloud data more accessible and actionable through advanced automation and data compression.
What Makes DataSight Different?
- Technology-agnostic processing: Works with point clouds from any source or collection method.
- Automated breakline extraction: Speeds up and simplifies the identification of critical topographic features.
- Patent-pending compression: Significantly reduces data storage and memory requirements while maintaining accuracy.
- Cloud-based delivery: Allows for fast, scalable, and cost-effective geospatial data processing.
For more details on their background and team, visit the DataSight About page.
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