Services
Data services from collection to decision
Eleven service lines that cover the whole path: getting the data, reading it at pixel level where it is imagery, making it structurally sound, analysing it spatially, and presenting it so the finding is obvious.
Core services
The five we run most often
These are the lines with the most delivered work behind them, so each page can show real output rather than a description of it.
Street View Data
Street-level imagery turned into measurable indicators for every segment of a network.
Learn MoreSemantic Segmentation
Pixel-level image analysis that turns imagery into counted, measured classes.
Learn MorePOI Data
Business and point-of-interest records with categories, coordinates and attributes.
Learn MoreGoogle Maps Data
Structured business listings with coordinates, categories, ratings and opening hours.
Learn MoreGIS Analysis
Spatial analysis and geographic data processing, from overlays to network models.
Learn MoreAlso available
The rest of what we do
Run less often, but on the same terms and to the same standard. Several of these are components of the five above, and can be commissioned on their own.
Web Scraping
Collect structured data from websites and public sources, on a schedule you control.
Learn MoreData Collection
Custom data collection and structured datasets built around one specific question.
Learn MoreGeospatial Data
Location, road, boundary and land-use datasets, cleaned and projected correctly.
Learn MoreHeatmap Analysis
Density, distribution and hotspot analysis that stands up to statistical scrutiny.
Learn MoreLocation Intelligence
Location-based market, catchment and competitor analysis that ends in a recommendation.
Learn MoreMap Visualization
Interactive maps and data visualization built for clarity and fast loading.
Learn MoreThe sequence
Every project sits somewhere on this line
Most engagements start in the middle. If you already hold data, we begin at structuring or analysis rather than collecting it again.
- Step 01
Collect
Web scraping, custom data collection and map platform data.
- Step 02
Structure
POI standardisation and geospatial data preparation.
- Step 03
Analyse
Heatmaps, spatial statistics and GIS analysis.
- Step 04
Interpret
Location intelligence, scoring and recommendations.
- Step 05
Communicate
Maps, dashboards and documented deliverables.
Delivered work
The same services on real projects
Each case study follows one project end to end: the question, the data assembled for it, the analysis run on it and what the client did with the result.
- Heatmap Analysis
- GIS Analysis
- Map Visualization
Urban Heatmap Data Analysis
From raw points to a normalised density surface with statistically tested hotspots.
- Input records
- 48,600
- Records corrected
- 9.1%
- POI Data
- Location Intelligence
- Heatmap Analysis
Restaurant Location Intelligence
POI collection, competitor density and catchment scoring behind a neighbourhood recommendation.
- Venues collected
- 3,180
- Coverage recovered
- +6%
- POI Data
- Data Collection
- Market Research
POI Data Analysis
A comparable POI census across five metros, and the standardisation that made it valid.
- Raw records
- 94,200
- Unique POIs
- 71,480
- GIS Analysis
- Computer Vision
- Map Visualization
Street Scene Analysis
Segmentation, detection and colour analysis turning street imagery into measurable indicators.
- Network analysed
- 310 km
- Images processed
- 24,800
Next step
Have a specific data requirement?
Tell us the sources, the coverage and the fields you need. You get a scoped plan, a sample and a fixed price before any work starts.