Spatialzr — The missing location standard in investment real estate

The only asset class making €50M decisions without a benchmark. Until now.

Investment real estate is the only major asset class making €50M decisions without a comparable location benchmark.

There is no Bloomberg for CRE location. No rating. No forward-looking score that compares a high street in Metz, an office district in Lyon, and a retail park outside Bordeaux on the same scale. Available market data measures the past — rents, transactions, yields. It does not answer the question that matters: what is the trajectory of this specific site over the next 3 to 5 years, before the market turns?

Vacancy is discovered when the tenant leaves. Never before.

What makes us unique

McKinsey (2018) documents that geospatial variables account for up to 60% of the predictive power of real estate value — well beyond rents or cap rates. Yet no market instrument measures this fundamental asset in a standardised, forward-looking, and cross-geography comparable way.
For investors, brokers, and asset managers, this translates into decisions made on instinct, portfolio arbitrage built on incomparable data, and location risk exposure that only becomes visible after the fact.

Built to become an industry standard
Global
All CRE asset types
From Location first to full CRE intelligence.png

Spatialzr LISA is that missing standard.

A forward-looking score built on 300+ geospatial variables, deployed across 2,253 French cities, comparable like-for-like across all geographies and asset types — Retail, Office, Residential, Industrial. The LISA score is not a complement to existing models: it is the location layer they are missing.
Whether you are an investor, broker, asset manager, or Head of Expansion, LISA answers one precise question: is this site — today — on a rising or declining trajectory?

Who is behind Spatialzr?

Spatialzr is led by Cyril Théret, former CEO of an FCA-regulated exchange, with 20 years spent standardising information in opaque markets — first at the London Stock Exchange, then in listed real estate. LISA applies the same logic to commercial location: turning diffuse data into a decision instrument.

Made with
By using this website you agree to our Cookie Policy.

Cookie Settings

We use cookies to improve user experience. Choose what cookie categories you allow us to use. You can read more about our Cookie Policy by clicking on Cookie Policy below.

These cookies enable strictly necessary cookies for security, language support and verification of identity. These cookies can’t be disabled.

These cookies collect data to remember choices users make to improve and give a better user experience. Disabling can cause some parts of the site to not work properly.

These cookies help us to understand how visitors interact with our website, help us measure and analyze traffic to improve our service.

These cookies help us to better deliver marketing content and customized ads.