Mach9 provides a geospatial production platform that automates the conversion of large-scale mobile LiDAR scans into 2D and 3D engineering models, achieving processing speeds up to 30 times faster and at half the cost of traditional methods. This technology addresses the labor-intensive nature of data processing in engineering and construction, allowing firms to focus on actionable insights rather than manual feature extraction.
Funding
$28.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
OVSBTGFounders
Product
Problem
Converting large-scale mobile LiDAR scans into 2D and 3D engineering models is a labor-intensive and time-consuming process. Traditional methods rely on manual feature extraction, which can be slow and costly for engineering and construction firms. This prevents firms from focusing on actionable insights derived from the data.
Solution
Mach9 provides a geospatial production platform that automates the conversion of large-scale mobile LiDAR scans into 2D and 3D engineering models. The platform leverages artificial intelligence to accelerate data processing by up to 30 times while reducing costs by half compared to manual methods. Mach9 transforms complex geospatial datasets into actionable maps and engineering deliverables, allowing organizations to focus on analysis and decision-making rather than data processing. The platform automates feature extraction, performs key measurements, and generates CAD and GIS outputs.
Target Audience
The primary customers are surveying, engineering, and construction firms that utilize mobile LiDAR scans and require efficient conversion into engineering models.
Features
- Automated feature extraction from LiDAR and camera image datasets
- Analysis of key measurements, including distance and clearance
- Production of 2D and 3D engineering deliverables, such as CAD and GIS files
- AI-powered processing achieves speeds up to 30x faster than manual methods