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PropertyEdge

Features

Every part of an underwriting file, in one analysis.

Seventeen modules that share one model, one set of assumptions and one standard of disclosure.

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AI Deal Analysis

One structured analysis per property, every time.

Every property runs through the same underwriting pipeline: income, expenses, financing, valuation, comparables, risk and scenarios. The output is a written rationale you can challenge, not a black-box score.

  • Consistent method applied to every deal
  • Assumptions listed alongside results
  • Written reasoning for the recommendation
AI Deal Analysis details

Financial Underwriting

NOI, cap rate, cash flow, CoC, DSCR, IRR and ROI.

A complete metric panel built from a line-by-line expense model with vacancy and capital reserves included, so returns are not quietly overstated.

  • Line-item operating expense build
  • Capital reserve treated explicitly
  • Financing modelled with renewal assumptions
Financial Underwriting details

Property Valuation

Multiple approaches, reconciled into a range.

Sales comparison, income capitalisation and price-per-unit approaches are calculated separately, then reconciled into a value range with a confidence score rather than a single false-precision number.

  • Sales comparison approach
  • Income capitalisation approach
  • Reconciled range with confidence
Property Valuation details

Comparable Sales

See what similar properties actually traded for.

Comparable sales are adjusted for size, condition, unit count and location so the comparison reflects the subject property rather than a raw average.

  • Adjustment grid by attribute
  • Distance and recency weighting
  • Source and date labelled on every comp
Comparable Sales details

Rental Comps

Test whether the rent roll is market or optimistic.

Unit-level rent comparison shows where existing rents sit against market, which is where most value-add opportunity and most underwriting error lives.

  • Per-unit market rent estimate
  • Gap to current rent
  • Rent achievability notes
Rental Comps details

Market Analysis

Context for the numbers you just calculated.

Supply, demand and pricing context at the submarket level, with sources and dates attached. Where we cannot source a figure, we say so rather than filling the gap.

  • Submarket-level context
  • Named sources with dates
  • Explicit gaps where data is unavailable
Market Analysis details

Neighbourhood Analysis

Who rents here, and how stable is demand?

Neighbourhood signals such as demographics, tenure mix, transit and amenities help explain rental demand and turnover risk beyond the four walls of the building.

  • Demographic and tenure context
  • Transit and amenity proximity
  • Rental demand indicators
Neighbourhood Analysis details

Crime & Safety

Safety context, sourced not invented.

Where official crime statistics are available for a jurisdiction, they are surfaced with the source and reporting period. Where they are not, the section states that clearly instead of estimating.

  • Official statistics only
  • Reporting period disclosed
  • No estimated safety scores
Crime & Safety details

Risk Detection

Find the weak assumption before the market does.

Automated checks flag thin DSCR, understated expenses, above-market rent assumptions, concentration risk and single points of failure in the plan.

  • Assumption plausibility checks
  • Deal-breaker flags
  • Severity and impact on returns
Risk Detection details

Stress Testing

Bull, base, bear and worst case on every deal.

Rent, vacancy, expenses, interest rate and exit value each move independently and together, showing exactly which input breaks the deal first.

  • Four standard scenarios
  • Break-even thresholds per input
  • Renewal rate sensitivity
Stress Testing details

Value-Add Analysis

Quantify the upside, and the capital it costs.

Each improvement path is modelled as an NOI change against the capital required and the time to realise it, so upside is measured rather than assumed.

  • NOI impact per initiative
  • Capital and timeline required
  • Value created at target cap rate
Value-Add Analysis details

Maximum Offer Calculator

Know your ceiling before you negotiate.

Your maximum price is the lower of the return-driven ceiling and the financing-driven ceiling. Both are calculated, and the binding constraint is named.

  • Return target ceiling
  • DSCR-constrained ceiling
  • Binding constraint identified
Maximum Offer Calculator details

Exit Strategy

Model the sale, not just the hold.

Exit value, selling costs and holding period feed IRR and equity multiple, with sensitivity on the exit cap rate — the least knowable input in any model.

  • Exit cap rate sensitivity
  • Selling cost modelling
  • IRR and equity multiple
Exit Strategy details

Document Analysis

Turn leases and statements into underwriting inputs.

Upload leases, rent rolls, tax bills and operating statements. Extracted figures are labelled as document-sourced, which is the highest confidence tier in the model.

  • Lease and rent roll extraction
  • Operating statement parsing
  • Document-sourced figures flagged
Document Analysis details

Investment Reports

A report you can hand to a partner or lender.

Every analysis exports to a structured report with assumptions, sources, metrics, scenarios and risks — including the parts that do not flatter the deal.

  • Assumptions appendix included
  • Scenario tables
  • Shareable and printable
Investment Reports details

Deal Comparison

Rank the shortlist on the same basis.

Compare saved deals side by side across returns, risk and required capital, using one consistent expense and financing methodology.

  • Side-by-side metric grid
  • Consistent methodology
  • Rank by return or by risk
Deal Comparison details

Portfolio Analysis

See the whole book, not one building.

Aggregate cash flow, leverage, DSCR and concentration across holdings, with renewal exposure by year so refinancing risk is visible early.

  • Aggregate DSCR and leverage
  • Renewal exposure timeline
  • Geographic concentration
Portfolio Analysis details