Custom Integrations & Infrastructure

Custom Spatial Data Infrastructure

We bridge the gap between heavy aerial imagery collection and your core operational software. VoxelData can design and deploy custom engineering pipelines to automate downstream data workflows.

VoxelData is developing Australian-hosted spatial workflow pipelines for organisations that need to move drone imagery, processed outputs, and spatial reporting data into existing operational systems.

Pilot workflows may include secure upload, automated validation, photogrammetry processing, output QA, signed delivery links, reporting extracts, and future integration pathways for platforms such as Procore, Autodesk Construction Cloud, SharePoint, Power BI, and GIS systems.

PIPELINE INTEGRATION

Enterprise ERP & Project Management Integrations

Automatically pipe calculated spatial metrics, weekly site elevations, and quantity variations directly into enterprise management ecosystems like Procore and Autodesk Construction Cloud via secure custom API integrations.

■ Automated quantity takeoff synchronisation
■ Procore site-diary photo and report generation
■ Secure OAuth2 token-based authentication handshakes

QA/QC AUTOMATION

Automated Design Deviation Alerts

Programmatically execute differential comparisons between newly processed site terrain data and original design CAD layers, instantly flagging out-of-tolerance changes to improve QA/QC outcomes.

■ Cut-and-fill tolerance violation alarms
■ Automatic DXF/DWG alignment comparisons
■ Heatmap anomaly reports sent directly to site leads

QA/QC AUTOMATION

GeoTIFF handover QA/QC with evidence you can act on

VoxelData examines one orthomosaic GeoTIFF against supplied requirements and produces a confidential, structured health-check report. The pilot is designed for teams that want to catch objective delivery problems before a client, reviewer or downstream system finds them.

■ GeoTIFF identification, header access and a complete block-read scan to identify files that cannot be read reliably.
■ Whether a coordinate reference system is present and whether it matches the expected CRS supplied for the job.
■ Observed pixel spacing compared with the maximum or expected limit supplied for the job.
■ Transform, bounds, raster dimensions and internal consistency.
■ Band count, colour interpretation and the data type of each band
■ NoData values, masks and alpha channels used to represent pixels outside valid coverage.
■ Compression, tiling, block sizes and overviews. Cloud Optimised GeoTIFF readiness is reported as a separate characteristic

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