Real Estate & Development
Custom geospatial tools for asset management teams, investors, and developers. Every property scored across 200+ variables on the same basis, updated as the data moves.
Trusted by industry leaders
TravelshiftFarmChamps
TravelshiftFarmChampsProven in production
A European mixed-use CRE developer was commissioning consultant reports per asset for location assessments. We built their in-house scoring tool that evaluates over 200 variables per asset, and site analysis went from days per asset to minutes. The asset management team now runs comparative analyses across the full portfolio in one view.
European CRE developer, 10,000+ employees
What We Deliver
Score every asset across 200+ variables organised into 7 categories: demographics and demand, mobility and access, climate exposure, energy and ESG, market dynamics, built environment, and competition. Weights reflect your thesis and asset class. Numbers refresh as the data moves.
Filter a long list of sites against 200+ variables across zoning, accessibility, demographics, climate exposure, energy ratings, market dynamics, and competitive supply. Narrow hundreds of candidates to the short list in minutes.
Physical risk (flood, heat, wildfire, sea-level, drought) and transition risk (carbon, retrofit, stranded-asset pathways) scored across dozens of climate and ESG variables. Outputs feed straight into TCFD, EU Taxonomy, and internal ESG reporting.
Benchmark any location against comparable submarkets across 100+ variables: demographics, mobility, rent and yield trends, vacancy and absorption, supply pipeline, and competitive density. The report writes itself.
See your portfolio across every geography. Clusters, gaps, and underperforming assets at a glance. Track 200+ variables shifting under each asset, week by week.
What it looks like
Every engagement is built to your data, your asset classes, and your scoring thesis.
Every asset ranked on one map. Each pin synthesises hundreds of underlying variables into one score. Hot assets surface to the top, underperformers flag themselves without you hunting.
Flood, heat, wildfire, sea-level, and transition risk overlaid on the portfolio. Flag at-risk assets before underwriting, before the board asks.
Scorecards that line up hundreds of variables across all 7 categories in the same table. One asset class or a mixed portfolio. Investment committee ready.
Hundreds of variables tracked over time, asset by asset. See which locations are improving, which are drifting, and which need re-underwriting.
How We Work
Two weeks of discovery. We map your portfolio, decision points, and existing data, then meet your asset management team, investment committee, and data owners so the tool supports the decisions you actually make.
We connect your property records and commercial data (leases, rents, capex, energy performance) to 200+ geospatial variables across demographics, mobility, climate exposure, ESG, market dynamics, built environment, and competition. Output: a single dataset, documented and auditable.
We design the scoring weights with your team across the 200+ underlying variables. Different asset classes, geographies, and theses get their own scorecards. You own the model and can change weights, add variables, or rebalance categories without asking us.
Production dashboards built for decision-makers, not GIS specialists. Your investment committee uses the output directly, with full methodology and data lineage there when the board asks.
Data refreshes, new asset classes, and model updates run on retainer. You keep evolving the tool as your strategy shifts, without rebuilding from scratch.
Selected Projects
European CRE Developer
A European mixed-use developer (10,000+ employees) replaced months of consultant work with an in-house scoring tool. 200+ variables per asset across 7 categories, refreshed automatically. Site analysis went from days to minutes; the entire portfolio is now scored on one comparable basis.
Mapular
An intuitive self-service web application integrating demographics, accessibility, and property data to compare existing, future, and competitor retail locations with AI-powered site suitability prediction.
Our spatial layers cover 200+ variables across 7 categories: demographics and demand, mobility and access (transit, walk, drive, foot traffic), climate exposure (flood, heat, wildfire, sea-level, transition), energy and ESG (EPC ratings, EU Taxonomy alignment, retrofit pathways), market dynamics (rent, yield, vacancy, absorption), built environment (zoning, age, supply pipeline), and competition. Combined with your property records, leases, capex plans, and CRM via connectors into MRI, Yardi, or Argus. Paid data vendors integrated where the methodology requires it. All sources documented per project.
Yes. We build connectors into the common real estate operating platforms so your scoring model pulls directly from your system of record. No parallel spreadsheets, no manual uploads.
You own your data. We never resell or repurpose it, and it stays in your cloud environment if that's how you prefer to work. The enriched spatial layers we bring are ours and come bundled with the engagement. The tool is custom-built for your portfolio and your team, handed over at the end of the build for ongoing use, with a maintenance retainer scoped to how actively you want to evolve it.
First usable version in 4 to 8 weeks. Production-ready with full data refresh automation in 3 to 4 months. Projects run in phases, so your team sees progress and can adjust scope early.
Projects are priced as fixed-price phases or retainer engagements. Typical first engagements start in the tens of thousands of euros. You get a detailed proposal after a short discovery call.
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