Atlas computes a property's after-repair value from the sales around it, reads its condition from photos, recalculates Michigan taxes the way a buyer will actually pay them — and writes you the investor brief. In about a minute.
We validated the engine on 91 recently sold Lansing homes across three independent test pools — preregistered, no tuning on test data, full methodology in version control.
Plus the asking price, and photos if you have them. That's the whole form.
Hundreds of nearby sales filtered and weighted, photo condition read by vision AI, taxes recomputed post-sale, cash flow and scores — all deterministic math, never a guess dressed as one.
ARV with its honest error band, repair range, rent, taxes, cash flow, flip and rental scores — and every caveat the data earned, in plain English.
Tools that hide their misses get abandoned after the first bad deal. Atlas is engineered the other way.
Too few comparable sales? Atlas says "no reliable value" — it will not invent one to look useful.
The accuracy band appears only where it was measured. Anywhere else, the report opens with an explicit warning instead of borrowed confidence.
Stale county records, suspicious data, thin comps, condition unknowns — surfaced in the report, not swept under it.
Every brief ends the same way: these are estimates. Walk the property. Check the county. Then decide.
Atlas is becoming one platform for the entire investor workflow — find, analyze, rehab, finance, dispose, manage. Each room opens when it passes its own accuracy gate, the same way the analyzer did.