Spatialzr LISA scores every address across 300+ variables. Absolute score, comparable across all geographies. Relative score, forward-looking on the territory's trajectory.
Before the market tells you.
A real estate asset is, first, a location.
Not a building. Not a lease. A location.
Two identical assets. Two different cells. Two opposite trajectories.
Location is not one attribute among others. It is the variable that governs all the others.
This is not a question of competence. It is a question of tooling. No tool previously allowed the attractiveness trajectory of a precise address to be scored — in a structured, cross-geography comparable, market-cycle-independent way.
The result: acquisitions on locations whose usage profile does not match the tenant's format. Leases signed on structurally declining zones. Portfolios built without the ability to objectively compare two assets. Not through error — through absence of instrument.
"For the first time, a real estate decision can be objectively documented — before the turn, not after."
3 signals :
CBRE −12.5% · JLL −12% · Cushman −14% in a single session. Wall Street signalled that the analytical models of major agencies are structurally fragile. Your clients know it.
La Défense, inner Paris suburbs, major French metros: vacancy rates have become mainstream press topics. It is no longer a latent risk. LPs are starting to require forward-looking data due diligence.
Broker market notes answer yesterday's question — past transactions, headline rents, observed vacancy — with a 6 to 12-month lag. No tool previously scored the trajectory of a precise cell, before the market turns.
Defend arbitrage decisions with data, not conviction.
Your LPs require forward-looking due diligence. n a €50M office asset at 5% yield, two years of undetected vacancy represents €5M in lost income — before the asset write-down. Spatialzr LISA gives you a documented score on every asset in your portfolio — before vacancy signals the problem.
"MSCI tells you what happened. LISA tells you what will happen."
Differentiate recommendations with a proprietary analytical layer.
Post-AI shock, your value-add must be demonstrated. LISA lets you recommend this precise cell, for this precise reason, with 300 variables behind it — unreplicable by a competitor.
"It's not the same zone. It's not the same recommendation."
Choose the right locations for the right reasons.
You sign leases for 6 to 9 years. On a store in a declining zone, the cost of a location mistake exceeds €1.5M — rent, early exit and unamortised fit-out costs. Spatialzr LISA compares your candidate locations on their 5-year trajectory — not the lowest headline rent. A non-opening costs less than an early closure.
"The right location for the right usage format. Before opening."
Assess the collateral's trajectory, not just its current rent.
An asset's LTV depends on its future attractiveness. LISA gives you the location trajectory across 300+ structured variables — independent of headline rent and market cycle.
"Assess the trajectory of the collateral you finance — before vacancy signals it to you."
Ready for Excel, internal models, AVMs. 300+ variables, cell by cell.
Query the dataset in natural language via ChatGPT, Mistral or Claude. No data science required.
Cell-by-cell visualisation. Generate your own maps. Integrate into your existing models.
Delivered as structured data — CSV, XLSX, ready for your own models. No subscription, no lock-in..
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