The startup develops asset management software that integrates drone data with artificial intelligence to document, assess, and track the condition of civil infrastructure. This technology enables construction and mining companies to enhance maintenance decisions, minimize risks, and improve asset performance through precise virtual inspections and change detection.
Funding
$700K 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.
Founders
Product
Problem
Civil infrastructure inspections often rely on manual methods, which are time-consuming, costly, and can expose personnel to safety risks. Traditional inspection techniques may also miss critical defects, leading to inadequate maintenance decisions and potential asset failure.
Solution
gNext Labs provides an asset management platform that leverages drone-captured data and AI to streamline the inspection, documentation, and assessment of civil infrastructure. The cloud-based platform automatically processes data from drones, 360 cameras, and other sensors to generate high-resolution 2D and 3D models, enabling virtual inspections and change detection. With AI-powered defect detection, users can identify and quantify issues such as cracks, spalling, and vegetation encroachment. The platform integrates with existing workflows through API access and supports various data formats, allowing for enhanced collaboration and data-driven maintenance decisions.
Target Audience
The primary target audience includes construction companies, mining and quarrying operations, transportation infrastructure managers, utility companies, telecom providers, water infrastructure operators, insurance companies, and public safety organizations responsible for inspecting and maintaining civil infrastructure assets.
Features
- Automatic processing of drone, video, and image data into high-resolution 2D orthomosaics and 3D models
- AI-powered InspectAssist™ for automated defect detection and quantification, including cracks, spalling, and vegetation
- Support for 40+ predefined asset types, including bridges, buildings, cell towers, and mining sites
- Change-over-time visualization for tracking asset degradation and construction progress
- Integration with Skydio Cloud, Phase One, and any WMTS Image Server including Esri
- Secure, cloud-based platform with end-to-end encryption and role-based access controls
- Document management system for attaching relevant documents, such as prior inspection reports and plan views
- Reporting tools for generating inspection, annotation, and stockpile analysis reports in PDF format
- Compatible with various data types, including images, video, LiDAR, and plan drawings (DFX)