How does it work ?
| Comprehensive data collection | Proprietary modeling | Instant scoring | Delivery |
|---|---|---|---|
| OCDE, OSM, Eurostat data... | Multiple models tailored to each market | Detailed scores for every location | Excel export |
Decide, invest, optimize.
Spatialzr transforms raw geographic data into actionable insights for property companies, retailers, investors, and owner-occupiers.

Get first access to innovation:
Join us in co-building the new standard for real estate location analytics.
Analyze the intrinsic value of a location with no subjective bias
Leverage 75 geographic indicators and validated socio-economic data (OECD, SEDAC, Eurostat, OSM...)
Export data in multiple formats (GIS, CSV, Excel) to integrate directly into your analysis
| Comprehensive data collection | Proprietary modeling | Instant scoring | Delivery |
|---|---|---|---|
| OCDE, OSM, Eurostat data... | Multiple models tailored to each market | Detailed scores for every location | Excel export |
LISA analyses every site through six weighted factors – metro area, accessibility, retail and business activity, city life and environment – using only structured public data. This makes your location score transparent, auditable and ready to plug into any CRE valuation or risk model.
Our scoring system unlocks actionable insights for commercial real estate – from valuation of Haussmannian buildings to portfolio analysis and franchise network expansion – as demonstrated in these three real-world examples, based entirely on public data.


Visualisation of the interplay between asset compatibility and market rarity, identifying strategic offices within the portfolio.
Identifying the 24 most promising locations to maximize commercial footprint and profitability for the brand in the capital.
