Problem. Solved. (Without Leaving the Office)
Recently, we delivered a full set of Resource Consent drawings for a solar array project — without stepping foot on site.
No travel time.
No repeat surveys.
No guesswork.
The difference? Databloc.
The Problem (As It Usually Happens)
Traditionally, early-stage projects involve:
Site visits to understand terrain
Chasing council hazard maps
Requesting underground utility information
Sorting through fragmented PDF reports
Converting scattered datasets into something usable in CAD
It’s slow.
It’s repetitive.
And it costs clients money before design even properly begins.
Worse, critical information often never makes it into the drawings in a usable way.
What Changed
Databloc was created to close the gap between data that exists and data that actually gets used.
As outlined in their recent LinkedIn introduction, Databloc integrates:
LiDAR
Council hazard layers (flood, coastal inundation, three waters)
Underground utility data
360° site imagery
AI-powered document processing
… and pushes it directly into CAD and BIM workflows.
Instead of fragmented PDFs and flat site assumptions, the design team works from a terrain-aware, geospatially accurate base model from day one.
How Nemean Used Databloc
For our solar array Resource Consent package, we used Databloc to:
Generate a topographical model directly from LiDAR
Integrate council risk layers into the base design
Incorporate utility information into the drawing environment
Export clean DXF files ready for production
Produce council-ready documentation
Because everything sat inside a persistent viewer and shared dataset, we avoided:
A preliminary site visit
Manual terrain modelling
Rebuilding fragmented datasets
Rework from missing constraints
The result:
Faster turnaround
Lower upfront cost
Fewer unknowns
Clear, council-ready drawings
All completed remotely.
If you’re planning renewable energy, land development, or infrastructure works and want to reduce early-stage friction, take a look at:
And if you want to see how Databloc positions itself, their introduction post is here, and well worth a view:
https://www.linkedin.com/posts/databloc-survey-plan-design-retain_databloc-intro-activity-748541690…