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Urban Analytics

Powerful insights,
made actionable.

We pair machine learning, econometrics and geospatial analysis with 35 years at the highest level of the real estate industry — to answer hard questions about property and the people who use it.

UEI ANALYTICS PIPELINE CLUSTER · ENSEMBLE · GEOSPATIAL
Data
sales · parcels · GIS
Model
ML + econometrics
Insight
value · risk · effect
Three disciplines, one practice

The methods most firms choose between — under one roof.

We don't reach for a single tool. We understand the problem first, then design the model — machine learning, econometrics, and geospatial analysis working together toward a defensible answer.

01 · MACHINE LEARNING

Structure hidden in the market.

Cluster analysis and ensemble models reveal the market-derived attributes that actually move value — then price thousands of properties with confidence.

1,000s valued
02 · ECONOMETRICS

Cause, isolated from noise.

Rigorous econometric models separate the effect you're studying from everything else — so a finding survives scrutiny in a boardroom or a courtroom.

1,000+ sales studied
03 · GEOSPATIAL

Location, measured precisely.

A fully-integrated GIS and remote-sensing LIDAR turn proximity, elevation and noise into hard variables — the parts of value that a spreadsheet can't see.

GIS + LIDAR

Experience you can put a number on.

35 years
At the highest level of the industry.
1,000s
Condominiums valued by model.
3
Disciplines, one integrated team.
100%
Defensible, evidence-first findings.
Where our analytics earn their keep

Hard property questions, answered with evidence.

Portfolio valuation

"What is every condominium in this county worth, and why?" becomes a market-derived answer — thousands of units clustered, modeled and priced with a rationale you can show.

Effect & disamenity studies

"How much does a pipeline, a highway, or traffic noise change nearby home values?" is answered with econometrics and geospatial data — isolated, quantified, and litigation-ready.

Bring us your toughest question.

Tell us the property problem you're trying to solve. We'll scope the right method and show you what the data can prove.

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