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Research · Thread 06
Data Centre
An on-demand automated valuation model reconciling disagreeing Dubai real-estate data sources into one auditable number.
Valuation in Dubai real estate runs on analyst cycles: pull comps, cross-reference several registries, hand-check the number. Data Centre asks whether an on-demand AVM can replace that with an auditable number in seconds, and the hard part isn't the model, it's reconciling 9 disagreeing sources into one confidence-tiered entity ontology across 40K+ entities before any valuation math runs.
Finding
An auditable number in seconds
The question is whether an on-demand valuation can replace that cycle with a number produced in seconds that still shows its working, so a broker can see which sources it leaned on rather than being asked to trust it.
The hard part isn't the model, it's reconciling the sources before any valuation math runs.
Paper to shipped
Implementation
Confidence-tiered entity ontology, 40K+ entitiesSources disagree on the same entity constantly. Resolving them into a tier-scored ontology - T1 government registry, T2 developer and official, T3 computed and market, T4 broker and editorial - makes the disagreement visible instead of averaging it away.
Benchmark
MAPE/RMSE calibration and backtest harnessAn internal snapshot showed 24.8% (leave-one-out backtest, July 2026) across 40K+ entities and 9 sources, published in the tool's own UI rather than a hidden report.
Shipped
Data Centre, the valuation surfaceReact + MapLibre valuation surface the team opens daily: on-demand AVM brief, ranked opportunities, six-month community-calibrated forecasts, and a risk-adjusted investment score that separates the property-specific signals from the fixed macro posture.