Sites and portfolios
Site selection, land and property intelligence and cadastral digitisation connect a place to the records behind it.
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SERVICES / Location Intelligence
Know where to act. And what changes around it.
Map your assets, customers and demand together to see where to invest, expand or intervene.
RECOGNISE THE PROBLEM
You may need this when...
- A site looks attractive on its own but weakens the network.
- Land records and ownership sit apart from the map.
- Routing decisions ignore what is happening on the ground.
- Location data is treated as a label instead of a constraint.
WHAT THE WORK CAN INCLUDE
A scope shaped around the decision.
Networks and movement
Expansion sequences, route planning and operational maps account for proximity and the network already in place.
Remote observation and GeoAI
Remote sensing and conversational GeoAI dashboards make spatial information accessible to the people deciding where to act.
BEFORE THE BUILD
Start with the Walk.
We put the proposed decision on a map. We check coverage, boundaries, coordinate systems and the difference between a point on a screen and a place in the business.
See the FloData MethodFOR THE TECHNICAL EVALUATOR
Under the hood
- 01Places and spatial layers
- 02Linked business records
- 03Map or network model
- 04Where to act next
- Spatial joins, geometry quality and coordinate reference systems matter as much as the interface.
- The map must preserve the link to the underlying record.
Illustrative approach. We select the stack after the diagnostic.
RELEVANT WORK
View related workSee the approach in practice.
CASE/01
A usable system from generations of plot records
Scanned property files became a linked register, with every ownership change traced to its source and every plot on the map.
Under the hoodHide the stack
OCR and document classification · Two-pass AI extraction with validation · Chain-of-title register · Web map with plot polygons · Maker, checker and approver workflows
CASE/02
Where an election is decided, booth by booth
Electoral intelligence for a US campaign and an Indian party organisation. Estimates built from official results, mapped from the seat to the street.
Under the hoodHide the stack
Official results and electoral rolls from public sources · Booth reconciliation across elections · Segment-level turnout and preference model · Bottom-up aggregation with confidence levels · Web maps from region to household · Prediction service with Excel-ready exports · Web dashboard and mobile field app
CASE/05
Golf course maps accurate enough to engrave
Course maps for a US map publisher, digitised feature by feature and ready for laser engraving, in less time and at lower cost per course.
Under the hoodHide the stack
ML georeferencing · ArcGIS and ArcPy · Python automation · OpenStreetMap and satellite imagery · Feature-level QA