AI Property Analyzer

What the analyzer produces on every property

One model drives every panel, so the cash flow, the valuation and the offer never disagree with each other.

• Net operating income rebuilt from real expense lines — taxes, insurance, utilities, management, maintenance, vacancy and capital reserves
• Cash flow, cash-on-cash return, cap rate, DSCR, break-even occupancy and equity multiple
• Financing that respects Canadian rules, including the flag when a down payment is too small to be insurable
• Valuation by income, comparable and replacement approaches, with the spread between them shown
• A risk register that names the specific things that could break the deal, not a generic score
• Four stress-test scenarios plus a Monte Carlo distribution of outcomes
• A maximum offer with the binding constraint identified — the metric that stops you paying more

Why an AI analyzer beats a spreadsheet

A spreadsheet does arithmetic. It does not notice that your vacancy assumption is half the local average, that your insurance line is a decade out of date, or that your exit cap rate is more optimistic than your entry cap rate.

The AI review reads your completed underwriting and argues with it. It challenges the assumptions that carry the most weight, names what it would want verified before an offer, and gives an independent second opinion on the verdict. It only cites numbers that are in your file — it does not invent market statistics.

Transparency is the point

Every input shows where it came from: your entry, a sourced figure with its publication date, or an AI estimate with a confidence level. You can change any of them and watch the whole file recalculate.

That matters most for new investors. You are not handed a verdict to trust blindly; you can see which assumption is doing the work, which is how underwriting is actually learned.