Headlight develops photo-based inspection software for infrastructure construction management, enabling inspectors to capture and annotate images, record audio, and document materials in the field. This technology enhances project oversight, resulting in a 25% reduction in claims and a 9% increase in productivity for transportation departments, engineering firms, and contractors.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional construction inspection processes rely on manual data collection and documentation, leading to inefficiencies, data silos, and potential errors in project oversight. This can result in increased claims, reduced productivity, and difficulty in maintaining project quality and accountability.
Solution
Headlight offers a photo-based inspection software platform designed to streamline infrastructure construction management. The platform enables inspectors to capture and annotate images, record audio, and document materials directly in the field, providing a single source of truth for project data. By unifying field and office teams with real-time project data, Headlight facilitates collaboration, improves decision-making, and reduces risk. The software's features support visual-based inspection, digital data collection, and automated report generation, ensuring project quality and adherence to specifications.
Target Audience
Headlight primarily serves transportation departments, engineering firms, contractors, and asset owners involved in infrastructure construction and maintenance.
Features
- Photo and video capture with annotation tools for detailed observation recording
- Automated report generation with integrated visuals and field data
- Real-time data sharing and collaboration between field and office teams
- Material quantity tracking and pay estimate development
- Customizable search functionality to quickly locate specific data points (e.g., labels, location, data type, date range)
- Integration with other construction management applications via open API
- GPS coordinates embedded in observation metadata for precise location visualization
- AI-powered defect detection to identify issues like cracks or spalling