AirWorks develops AI-powered software that automates the generation of precise linework from aerial data, enabling rapid production of high-quality maps for civil engineering and surveying projects. This technology significantly reduces project turnaround times to an average of four days, allowing firms to take on more work and improve their bidding success.
Funding
$25.5M 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.




PEFounders
Product
Problem
Civil engineering and surveying firms face challenges in efficiently generating accurate linework from aerial data, leading to time-consuming manual processes and project delays. Traditional methods often require significant labor and can hinder a firm's ability to take on more projects or improve bidding success.
Solution
AirWorks provides an AI-powered geospatial intelligence solution that automates the creation of precise linework from aerial imagery and LiDAR data. The platform enables rapid production of high-quality maps, reducing project turnaround times to an average of four days. By delivering reliable and actionable data, AirWorks empowers firms to reduce risks, gain efficiencies, and win more bids. The solution integrates into existing workflows, allowing users to allocate employee time more efficiently and deliver more projects faster.
Target Audience
AirWorks primarily serves civil engineering and surveying firms, telecom companies, and government agencies that require accurate and efficient geospatial data processing.
Features
- AI-driven linework generation from aerial imagery and LiDAR data
- Fast delivery times, averaging four days for project completion
- High accuracy, delivering up to 2-pixel accuracy for most datasets
- Quality control processes to minimize rework and corrections
- Flexible integration into existing workflows
- Support for various industries, including telecom, civil engineering, surveying, and government