About us

The Industry-First Location Score for CRE

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Why Spatialzr?

Spatialzr đź“Ť provides the industry-first location scoring system developped for the commercial real estate sector. By leveraging advanced analytics and real-time data, our unique location score evaluates properties based on spatial data offering a comprehensive assessment of a location's potential.

Whether you're a broker, investor, valuer, developper or corporate real estate manager, our insights empower you to make strategic decisions with confidence, optimizing your real estate investments for maximum return.

CRE reference data

CRE assets are fixed assets unlike any other investment asset classes. At Spatialzr đź“Ť , we believe that reference data for CRE is based on spatial data, or location data. Spatial data is available everywhere, for any location, and can be transformed into CRE indicators such as a best-use score.

To provide a location score on a global basis, the spatial data that we collect, structure and clean has been grouped into 6 weighted factors: metropolitan area, transport accessibility, retail activity, business activity, city life, and environmental factors. Spatialzr is the single source of basic property data used across the CRE market.

The location score provides a ranking of a specific location according to its use: office, retail, light industrial and residential.

Location, location, location

The Spatialzr đź“ŤLocation score (LISA score) is a reference data indicator that can easily be adjusted and/or augmented in several ways:
• to generate location scores for alternative asset types such as student housing, senior living...
• to add additional datasets such as environmental specific data, footfall data, turnover data for tailored results
• to define the criteria for a CRE investment strategy to pre-qualify leads

The power of spatial data

Quick and actionable insights

Reduces CRE opacity

Invest in data enrichment only

an industry standard
Global
All CRE asset types
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Our Values: Impact property investment

Sustainable development

We are motivated by the desire to build sustainable cities, by promoting densification, the conservation of resources and the creation of resilient urban environments.

ESG Framework

The current context reminds us of the importance of conserving resources with care. That's why we're preparing tomorrow's world today by encouraging sustainable behavior.

Sutainable finance

Our algorithms and the way we process data are shaped by a commitment to more responsible finance.

Responsible Commitment to Our Clients' Data

Data ethics policy

Our approach to customer data is far from ordinary. We do not use customer data to fuel our databases.

Data compliance

We use open data with distribution or open access licenses while respecting citations. The data required for creating our prediction and machine learning models are acquired transparently. At Spatialzr, our commitment to our customers goes beyond current practices, ensuring ethical and responsible use of every piece of data.

Lean product development & UX/UI design are in our ❤️

User experience is at the heart of our concerns, as a product is only valuable if it is used. That's why we've designed our tools to be adaptable over time. Our product development process involves multiple interactions with our users to ensure our best execution and your satisfaction.

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