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Enterprise Layer Intelligence
Categories/AI Analytics/gNext
gNext

gNext

Founded 2016

Inspect infrastructure assets remotely using drone imagery and automated defect detection models

Pricing model

Demo

You can use gNext to convert drone imagery, video, and laser scans into interactive 2D and 3D visual models for physical asset inspections. The software processes survey data from bridges, dams, railways, and cell towers without requiring manual photogrammetry skills. You can review textured mesh models, measure physical distances, track structural changes over time, and mark surface defects directly on screen. Users can attach technical documents to specific coordinates, generate inspection reports, and share findings with remote engineering teams across construction, transportation, and utility sectors.

What gNext does

Upload drone imagery and point clouds to cloud storageMeasure distances, elevations, and volumetric areas on 3D meshesAnnotate surface defects directly on textured models and inspection videosCompare historical 3D models side-by-side to monitor deteriorationExport inspection reports with pinned notes and photosConnect aerial sensor datasets from Skydio Cloud into project workspacesConverts drone photos, 360 images, and LIDAR into 2D and 3D modelsAutomatically identifies and flags structural defects using InspectAssistSupports over 40 asset configurations including bridges, dams, and cell towersDirect integration with Skydio Cloud and Esri WMTS serversDistance, volume, and grade measurement tools within 3D viewsAttaches PDF documents and notes to specific model coordinatesSide-by-side model comparison for tracking structural changes over time

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Skydio Cloud, Phase One, Esri

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gNext, drone inspection, photogrammetry, 3D modeling, point cloud, digital twin, asset inspection, bridge inspection, infrastructure management, defect detection, InspectAssist, Skydio Cloud, orthophoto, elevation models, LIDAR processing, remote inspection, structural monitoring