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
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.
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.
Comparable assets are evaluated across location quality, condition, vintage, amenity profile, tenant persona, and market positioning to produce a refined peer set.
Potential rent, vacancy cascades, loss-to-lease, concessions, bad debt, trade-out overlays, and renovation premiums are computed from structured deal data.
State-of-the-art AI agents, a deterministic pro forma engine, and hundreds of analytical dimensions combine into one complete, defensible asset valuation.
Product
Pro Forma
Park Residences Plano
Generate
Run the pro forma engine
Key Return Metrics
Levered and unlevered performance at exit.
Sources & Uses
Day-one equity check and financing summary.
Engineered for Accuracy
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.
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.
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.
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.
The Real Problem
More than 80% of acquisitions effort goes to deals your firm will pass on. But traditional valuation demands the same multi-day grind every time: extracting data from PDFs, hunting for comps, building spreadsheets from scratch, and reconciling numbers that never quite match. CRE Terminal collapses that cycle so you spend time making decisions, not preparing to make them.
Speed as Architecture
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.
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.
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.
IC-Ready Output
Financial projections, market intelligence, location risk profile, comp-set evidence, value-add scenarios, and investor-fit scoring are synthesized into one presentation-ready deal summary.
CapEx probability curves, supply pipeline signals, tenant sentiment, and market trajectory indicators feed directly into pro forma assumptions instead of living in a separate memo your IC has to cross-reference.
Model how different capital partners would score the deal based on return targets, risk tolerance, and strategy preferences so you know the strengths to lead with and the objections to prepare for.
Compounding Intelligence
Expense benchmarks, rent growth patterns, cap rate distributions, risk signals, and comp-set data get sharper with every deal your firm analyzes.
Overrides and analyst corrections do not disappear. They tune the system toward your strategy and inform future valuations across the platform.
Multiple underwriting personas let you evaluate the same deal through conservative, moderate, and aggressive lenses without rebuilding the model.