Real-estate solution

Real Estate Spatial Analytics & Property Intelligence

Property-level models, normalized rent-roll workflows, spatial marginal effects, and reviewable visual systems for valuation, underwriting, and asset management.

06 · Real Estate

Commercial real estate lease intelligence.

This completed workflow turns inconsistent spreadsheets and lease schedules into normalized property data, then generates an interactive stacking plan for asset-management and underwriting review.

Normalize suites, tenants, areas, dates, rents, escalations, and lease options
Identify vacancy, rollover concentration, upcoming expirations, and renewal exposure
Move from source files to a reviewable building-level visual and export-ready dataset

The recreation at right uses entirely synthetic building, tenant, and lease information.

Commerce Center lease intelligence

Sanitized recreation · Synthetic data

As of 12/31/2026View Stacking plan + rent rollRollover Next 36 months

Leased area87.6%

Available area12.4%

Active leases19

Next rolloverQ3 2027

Floor stacking planLinked to rent roll

Northline Design

Available

Summit Advisory

CivicWorks Studio

Prairie Legal

Available

Redwood Partners

Atlas Engineering

Current leaseAvailable / month-to-monthHigh rollover exposureMedium rollover exposure

Normalized rent roll5 visible rows

Suite	Tenant	Area	Lease end	Review
1500	Northline Design	8,420	09/30/27	Watch
1400	Summit Advisory	13,800	06/30/31	Current
1305	CivicWorks Studio	5,260	12/31/28	Monitor
1310	Prairie Legal	7,040	03/31/29	Current
1200	Available	3,160	—	Market

Lease-expiration exposure% of area

22%202718%202825%202935%2030+

Source filesExtractNormalizeLinkReview

Sanitized recreation based on completed rent-roll and stacking-plan work. All building, tenant, area, rent, and lease values are synthetic.

Parcel and location intelligence

See local effects and property patterns—not only portfolio averages.

Parcel-level modeling can reveal how estimated relationships vary across space, while browser dashboards connect property values, infrastructure, filters, and market context in one reviewable system.

Parcel-level map of estimated local square-footage marginal effects, ranging from negative blue effects through neutral white to positive yellow, orange, and red effects. — Parcel-level local marginal effects from Dearmon & Smith, “A Hierarchical Approach to Scalable Gaussian Process Regression for Spatial Data,” Figure 21(c).

Property intelligence

Connect property data to the decisions it must support.

Define the assets, source files, geography, analytical question, validation standard, and property-level outputs required.

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