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    GBM Konect 2 for field data: key workflow and QA takeaways for civil engineers

    October 1, 2026|

    Reviewed by Joe Ashwell

    GBM Konect 2 for field data: key workflow and QA takeaways for civil engineers

    First reported on Roads & Infrastructure (AU)

    30 Second Briefing

    GBM Konect has released Konect 2, a complete rebuild of its 15‑year‑old Australian field data capture and mobile mapping platform used on infrastructure sites and remote corridors with poor connectivity. The new version is designed to synchronise geospatial and asset data from tablets and phones to central systems once coverage is restored, reducing manual re‑entry and gaps between as‑built field records and office GIS/asset databases. For civil and road projects, this targets more reliable inspection, defect logging and construction QA data directly from the workfront.

    Technical Brief

    • Original GBM Konect was among the first mobile GIS tools designed for offline field workflows.
    • Workflow focus is on capturing geospatially referenced inspections directly at the workfront, not post‑hoc digitisation.
    • Data model is oriented around asset registers and condition attributes rather than generic forms-only capture.
    • Design intent is to minimise double‑handling between field tablets/phones and central GIS/asset systems.

    Our Take

    GBM Konect’s role as the core field and asset platform for Banyule City Council and the City of Bendigo in our database suggests Konect 2 is likely being shaped around local‑government road and drainage workflows rather than generic field apps.

    With 36 Software stories in our coverage, GBM Konect stands out as one of the few Australian‑grown field data platforms with more than a decade of continuous use, which can reduce change‑management risk for councils and contractors compared with newer SaaS entrants.

    The long service duration in Australian field operations means Konect 2 will need to preserve backward compatibility with existing council asset systems highlighted in Bendigo’s deployment, signalling a focus on integration and migration rather than a clean‑slate rebuild.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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