Every city has a “housing pipeline” story. It usually lives in PDFs, slide decks and spreadsheets: how many units have been approved, which projects are “in the pipeline”, how many homes might be delivered over the next 3–5 years.
The problem is that these pipelines are rarely tied back to parcels on the map. Planners, housing agencies, utilities, lenders and investors are all looking at slightly different lists of the same projects — and nobody has a live, geospatially grounded view of what can actually be built, where and when.
As a GIS-led company, Slas Technologies approaches this differently: we start from the parcel and work upwards to policy, finance and delivery.
When every project in the ‘pipeline’ is anchored to a real parcel with zoning, services and constraints, the conversation shifts from slogans to decisions.
Why parcel-level data matters
Parcel-level data is not a buzzword — it is the basic unit of reality in land and housing. Each parcel carries:
- Legal attributes – ownership, tenure, encumbrances.
- Planning attributes – zoning, setbacks, height limits.
- Physical attributes – area, topography, access, flood risk.
- Infrastructure attributes – roads, transit, water, power, fibre.
Without this context, “we will build 10,000 units” is just a statement. With parcel-level data, it becomes a testable, financeable plan.
From static plans to living geospatial pipelines
In practice, moving from paper to parcel-level intelligence involves three big shifts:
- Digitising and cleaning base layers – cadastral data, planning schemes, environmental constraints and existing building footprints.
- Geocoding the project pipeline – linking every proposed and approved project to the parcels it actually sits on.
- Creating a shared, queryable view – where governments, lenders and developers can see the same source of truth.
With this in place, questions that used to take weeks of manual reconciliation can be answered in seconds:
- How many zoned-but-unused parcels remain within 500m of transit?
- Which projects will be blocked if a specific infrastructure upgrade slips by two years?
- Where should public guarantees or subsidies be targeted to unlock stalled sites?
How this connects to SlasProp, SlasPay and PropIntel
For us, parcel-level intelligence is not an academic exercise. It is the foundation for:
- SlasProp – structuring listings and land records around verified parcels.
- PropIntel – building analytics and dashboards for housing pipelines and land-use scenarios.
- SlasPay – linking payments and financial products to real, mapped assets.
When governments and market operators can see housing supply as layers on a map rather than rows in a spreadsheet, coordination improves, risk drops and it becomes easier to mobilise capital at scale.
