Fundamentals11 min read
Street View Data Processing and Applications
After acquisition and QA, street view imagery moves through visual extraction and spatial aggregation. Each processing layer determines what the final dataset can support.
GIS Analysis · Data Collection · Technical Services
Turn Web & Location Data Into Actionable Intelligence.
We are a technical services outsourcing studio for researchers, merchants and technology companies — delivering professional, reliable GIS analysis and data collection on a project basis.
Working with research teams, merchants and technology companies across United States, Canada, United Kingdom, European Union and beyond. Every project starts with a scoped plan and a sample before any commitment.
Services
What we do
The five lines we run most often, from street-level and map data collection through pixel-level image analysis to GIS analysis and cartography. Six further services sit behind them.
Street View Data
Large-scale street view imagery collection, processing and structured dataset delivery.
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 MoreHow we work
A scoped plan before any commitment
The same five steps on every project, whether it is a single-city extract or a multi-country programme.
- Step 01
Tell us what you need
Describe the decision, the geography and the fields that matter.
- Step 02
We define the scope
Sources, schema, coverage and acceptance criteria, agreed in writing.
- Step 03
We collect and process
Monitored pipelines with fetching, parsing and validation kept separate.
- Step 04
We validate
Completeness, duplicates, geometry and spatial sanity checks on every batch.
- Step 05
We deliver
Data, documentation and a validation report in your formats.
How we operate
Three things we will not compromise on
Publicly available sources only
We work with public information, open data and sources you are authorised to use. We decline work that requires defeating authentication or platform protections, and we tell you early rather than late.
Documented, not assumed
Every delivery states its schema, its sources, its collection dates and its coverage. Where a field could not be collected, that is written down instead of arriving as a silent blank.
Built to be re-run
Projects are pipelines rather than one-off scripts, so a refresh is a re-run with a change log. The second dataset costs a fraction of the first.
Blog
Notes on data and geography
Practical writing on the parts of this work that go wrong most often.
How-to8 min read
How to Collect Google Street View Data
The official route starts with free metadata, then permitted image requests. At city scale, sampling, quota, cost, retries, QA and a traceable manifest become the real collection job.
Fundamentals14 min read
Street View Data Collection Platforms Compared
Ten platforms in five families, compared for real data collection work. Coverage, documented access, quotas, licensing and permitted delivery determine whether a source can support a city-scale or global project.
Pricing
Quoted on scope, not from a price list
Every project is quoted on what it actually involves: data volume, complexity, refresh frequency, delivery format and processing requirements. Tell us what you need and you get a fixed price against a written scope before any work begins.
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.