Your next real estate decision is based on yesterday's data.

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.

• Aggregated market note, 6–12 month lag
• Opinion not comparable across geographies
• Vacancy discovered after tenant departure
• Portfolio arbitrage based on intuition

• Score 0–10 · 300+ variables · precise H3 cell
• Comparable like-for-like across all geographies
• 3–5 year prospective trajectory before the turn
• Documented arbitrage, defensible to LP committees

Defend arbitrage decisions with data, not opinions.
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..