01
Market economics
Rent growth regression, cap rate distributions, absorption forecasts, vacancy modeling, and supply pipeline analysis drawn from third-party research, public records, and API-enriched feeds.
Risk Analysis
Institutional-grade risk intelligence. Engineered from the ground up.
CRE Terminal doesn't bolt risk analysis onto a spreadsheet. It orchestrates state-of-the-art AI, deterministic financial engines, structured data infrastructure, and hundreds of analytical dimensions into one risk fabric that feeds directly into asset-level and portfolio-level models. Every signal scored. Every assumption traceable. Every finding wired in.
02
Location intelligence
Demographics, employment engines, walkability, school quality, crime patterns, commute data, amenity access, tenant persona modeling, gentrification momentum, institutional co-investment footprint, and regulatory friction.
03
Tenant and sentiment signals
Aspect-based sentiment analysis across tenant reviews, Google ratings, management responsiveness patterns, and complaint classification to surface operational risk before close.
04
Physical asset risk
System-by-system replacement probability curves, age-adjusted condition modeling, deferred maintenance detection, and CapEx scenario generation tied back to methodology.
05
Financial benchmarking
Regression-driven OpEx assumptions, revenue waterfall decomposition, underwriting pattern matching, and statistical benchmarking across every budget line item.
06
Qualitative inference
Neighborhood trajectory, investment momentum, policy friction, supply shock exposure, and management complexity scoring synthesized into decision-ready signals.
Deterministic Precision
AI finds the signals. Code does the math.
CRE Terminal separates what AI does well from what it should never be trusted to do. Pattern recognition, unstructured synthesis, and qualitative inference come from specialized agents. CapEx probability curves, sensitivity grids, scenario modeling, and waterfall distributions run through a deterministic financial engine with full auditability.
CapEx: probability-driven, not placeholder-driven
Replacement curves by system type, adjusted for asset age and condition. Low/Base/High budget scenarios with year-by-year schedules across the hold period, with full override control when your experience says otherwise.
Sensitivity: complete recomputation, not interpolation
Purchase price, exit cap, and market rent sensitivities each trigger a full pro forma run from scratch so you see how returns actually degrade under stress.
Expense benchmarking: statistical, not anecdotal
Regression-driven OpEx assumptions benchmarked against comparable assets so every variance is visible and every line item is defensible.