01
Assumptions grounded in evidence
Every rent growth rate, cap rate, and expense assumption is cross-referenced against live market data, statistical benchmarks, API-enriched feeds, and comp-set analysis.
Valuation
Institutional-grade asset valuation in minutes.
CRE Terminal orchestrates state-of-the-art AI agents, a deterministic pro forma engine, and hundreds of analytical dimensions across dozens of live data sources to produce a complete, defensible asset valuation from document upload to investment verdict. Every rent assumption benchmarked. Every expense line statistically grounded. Every risk signal wired into the model.
02
Comps scored across dozens of dimensions
Comparable assets are evaluated across location quality, condition, vintage, amenity profile, tenant persona, and market positioning to produce a refined peer set.
03
Revenue modeling with full waterfall decomposition
Potential rent, vacancy cascades, loss-to-lease, concessions, bad debt, trade-out overlays, and renovation premiums are computed from structured deal data.
04
Dozens of sources, one verdict
State-of-the-art AI agents, a deterministic pro forma engine, and hundreds of analytical dimensions combine into one complete, defensible asset valuation.
Engineered for Accuracy
AI finds the signals. A purpose-built engine does the math.
CRE Terminal separates what AI does well, such as pattern recognition, unstructured data synthesis, and qualitative inference across thousands of data points, from what requires deterministic precision. Financial calculations run through a purpose-built pro forma engine, not an LLM.
Assumptions grounded in evidence, not broker narrative
Every rent growth rate, cap rate, and expense assumption is cross-referenced against live market data, statistical benchmarks, API-enriched feeds, and comp-set analysis. When the OM narrative contradicts the T12, the system catches it automatically.
Comps scored across dozens of dimensions
CRE Terminal evaluates comparable assets across location quality, property condition, vintage, amenity profile, tenant persona, and market positioning, ranking each comp to produce a refined peer set that justifies your rent premium with data.
Revenue modeling with full waterfall decomposition
Potential Monthly Rent, vacancy cascades, loss-to-lease, concessions, bad debt, trade-out overlays, and renovation premium modeling are all computed from structured deal data with configurable growth timing and automatic rebasing.
Product
Institutional-quality output. Every time.
CRETerminal
DealsCounterpartiesUpdates
Pro Forma
Harborview Apartments
MainAnnualMonthlyLease-UpSensitivityParity
Generate
Run the pro forma engine
SuccessEngine v1.1.2Generate Pro Forma
Key Return Metrics
Levered and unlevered performance at exit.
Unlevered IRR12%
Levered IRR21%
Equity Multiple2.54x
Net Profit$29,369,653
Partner IRR20%
Sponsor IRR32%
Sources & Uses
Day-one equity check and financing summary.
Equity$19,815,000
Senior Debt$55,000,000
Purchase Price$69,000,000
Acquisition Fee$690,000
Working Capital$5,000,000
Closing Costs$75,000
Speed as Architecture
The entire analytical stack runs in minutes.
Format-agnostic intake
Upload OMs, rent rolls, T12s, and market reports in any format. Specialized extraction agents parse, classify, and structure every data point, including messy PDFs, non-standard Excel layouts, and trained document formats.
Autonomous underwriting workflow
Once data is structured, the agent network executes the full valuation pipeline automatically: revenue modeling, expense benchmarking, capital stack sizing, debt modeling, waterfall distributions, risk assessment, location analysis, comp scoring, and sensitivity testing.
5-10x deal throughput with the same team
When valuation takes minutes, your team can evaluate every opportunity that crosses the desk instead of passing on deals because it is still modeling the last one.
Process