Sell My House To AI

Model-drafted · human-closed · cash buyer

The AI drafts the range. A human owns the wire.

Sell My House To AI is exactly what the name says — and honest about what it isn't. You send facts and photos; our valuation model, Band Engine v4, returns a cash range in minutes. But no robot sends your money. A licensed human closer reviews every band, owns the single number that wires, and signs their name to it. This is automation with an accountable person at the end, not a chatbot pretending to buy your house.

11 minmedian to your first band
±6%band width on a complete file
~18%of bands a human overrides
50confidence floor — below it, we don't quote
Not fully autonomous — on purpose A person signs the number No quote below 50 confidence Model card published Kept brand — a live operating business
A house rendered as a wireframe resolving into a photograph, teal and violet light

The pipeline

Facts and photos in, a defensible band out.

Five stages. The model does the fast, boring parts; the human does the part with your money on it.

  1. 1 · IntakeYou answer a structured set of questions and drop photos. The model scores file completeness before it does anything else.
  2. 2 · Comp & condition readBand Engine v4 pulls comparable sales, reads condition cues from your photos, and estimates repairs.
  3. 3 · Draft bandThe model returns a range and a confidence score — median 11 minutes on a complete file.
  4. 4 · Human reviewA licensed closer checks the band. About 18% of the time they override it — up or down — and they log why.
  5. 5 · The number that wiresThe closer commits a single figure inside the band and puts their name on it. That's the number that funds at title.
If the model's confidence lands below 50, we don't send you a number at all. We tell you what's missing from the file instead of guessing with your equity.

Reading the band

A range, a confidence score, and where the human lives.

Model confidence

78

Above our 50 floor, so this file gets a band. Below 50, we ask for more instead of quoting.

What drives the band width

Comp spread 38
Photo coverage 27
Repair unknowns 23
Title flags 12

Complete files land near ±6%; thin files widen fast.

Band tightness

More photos and honest condition notes push the marker right — a tighter band and a faster human sign-off.

How often the human moves the number

Teal is human overrides (~18%). Violet is bands the closer nudged inside the range without a full override. The rest ship as the model drafted them.

Example band on a complete file

ARV est. $312,000 · confidence 78 · draft band $214k–$228k (±6% around $221k). Human closer reviewed comps, held the number at $221,000, signed — closer #4.
StageValue
Model midpoint$221,000
Band width±6%
Human decisionheld
Wired number$221,000

The part that isn't AI

Why a person still owns the number.

A model is great at comps and terrible at surprises. The closer exists for the 18% of files where the map isn't the territory.

The model handles…

  • Pulling and weighting comparable sales.
  • Reading condition cues from your photos.
  • Estimating a repair budget and a hold cost.
  • Scoring how complete and trustworthy the file is.
  • Returning a range fast — median 11 minutes.

The human overrides when…

  • Photos hide something the neighborhood comps don't — a cracked slab, a bad addition.
  • A comp the model loved was actually a distressed insider sale.
  • There's a title, permit, or lien wrinkle the model can't price.
  • Confidence is borderline and a call with you resolves it faster than more data.
  • Local rules — an HOA, a flood zone, a short-term-rental ban — change what a comp is worth.
  • The seller shares context the form never asked for, and it moves the number honestly.
Every override is logged with a reason and attached to your file. You can ask to see why the human moved the number — because a human actually did.

What the system gives you

Six things that make model-drafted honest.

Minutes, not "we'll call you"

Median 11 minutes to your first band on a complete file. No scheduling a callback to hear a range.

A confidence floor

Below 50 confidence we won't quote. A number we don't believe is worse than no number at all.

A named closer signs it

The figure that wires carries a human closer's ID. Accountability, not an anonymous algorithm.

A published model card

We document what Band Engine v4 uses, where it's weak, and how often humans override it. No black box.

Tighter with better files

More photos and honest condition notes shrink your band toward ±6% and speed the human sign-off.

No retrade after the sign

Once the closer commits inside the band, that's the number. The model doesn't get a second, quieter vote later.

How the model is doing

We track calibration in the open.

A model that says "78 confidence" should be right about 78% of the time. Here's how ours has trended.

Predicted vs realized accuracy

The band engine has crept toward its stated confidence as we've fed it more closed files in each market.

Time to first band

Median 11 minutes on a complete file.

Draft volume, last 14 weeks

Bands the model drafted. Darker = busier week.

Where files end up

64%Shipped as drafted
18%Human override
11%Nudged in band
7%No quote (<50)

Life of one complete file

From your photos to a signed number, by the minute.

A real timeline for a well-documented Phoenix file — the fast part is the model, the accountable part is the human.

  • Intake complete

    Structured facts and 14 interior/exterior photos submitted. Completeness score clears the bar.

  • Comps pulled

    Band Engine v4 gathers and weights recent comparable sales within the submarket.

  • Condition read

    Photos scored for repair cues; a repair budget and hold cost are estimated.

  • Draft band returned

    Range and confidence delivered to you — the 11-minute median in action.

  • Human review

    A named closer checks the comps and confirms the number, logging a hold or an override.

  • Human-owned number wires

    Title clears and the closer's committed figure funds. No quiet retrade in between.

Where the model is trained enough to trust

Five metros with enough closed comps to be honest.

The model is only as good as its local data. We turn on new markets when calibration clears our bar — not before.

MetroModel statusMedian confidenceOverride rate
Phoenix, AZMature8114%
Charlotte, NCMature7916%
San Antonio, TXMature7718%
Cleveland, OHSeasoning7124%
Jacksonville, FLSeasoning6927%

Notice "seasoning" markets have higher override rates — the humans carry more of the load until the model catches up. We show you that instead of hiding it.

Anonymized recent files

Drafts, overrides, and the number that wired.

Block-level addresses only. Actuals rounded to the nearest thousand.

FileAreaConf.Draft bandHumanWired
SMH-09122900-block N 27th Ave, Phoenix81$214k–$228kHeld$221k
SMH-0937600-block Tuckaseegee Rd, Charlotte74$188k–$204kCut (bad comp)$191k
SMH-09581300-block Bandera Rd, San Antonio63$162k–$182kRaised (extra beds)$179k
SMH-09814700-block Pearl Rd, Cleveland58$96k–$112kHeld after call$103k
SMH-1004800-block Cassat Ave, Jacksonville47No quote (<50)
SMH-10193300-block E Bell Rd, Phoenix85$268k–$284kHeld$276k
File SMH-1004 is the honest one: the model hit 47 confidence on a thin file, so we sent no number and asked for interior photos instead of guessing. That "no quote" is the product working, not failing.

In sellers' words

Two people who liked seeing the seams.

"I sent photos on my lunch break and had a real range before I finished my sandwich. What I didn't expect was a call from an actual person explaining why they nudged it up for the extra bedroom."

— Priya S., Phoenix

"They told me my file was only 47 confidence and refused to throw out a number. Every other 'instant offer' site just guessed. I trusted the one that said 'not yet.'"

— Derek M., Jacksonville

What it costs you

The band is free. So is the close.

Automation lowers our cost, not your proceeds. Here's the whole fee picture.

Get a band $0
  • Model-drafted range
  • Confidence score shown
  • No obligation
Human-closed sale $0 to you
  • Named closer owns the number
  • We pay title & escrow
  • We pay standard closing costs
  • No service or "tech" fee
You still owe payoff
  • Mortgage payoff
  • Liens on title
  • Prorated taxes

There is no fee for using the model, and no premium for talking to the human. Both are just how we buy houses.

Straight answers

What "sell to AI" really means here.

Is a robot actually buying my house?

No, and we won't pretend otherwise. A model drafts the range; a licensed human closer reviews it, owns the final number, and signs off on the wire. The AI makes us fast — the person makes us accountable.

How is the band different from a Zestimate?

A Zestimate guesses retail value. Our band is a cash offer range, built from comps, your photos, and an estimated repair budget — then reviewed by a human. It also comes with a confidence score, and if that score is under 50, we don't send a number at all.

What does "±6%" mean for my offer?

On a complete file, the draft band is usually within about 6% of its midpoint. Thin files — few photos, sparse comps — produce wider bands, and we tell you exactly why yours is wide before the human tightens it.

Why would you refuse to give me a number?

If the model's confidence is below 50, a number would be a guess dressed up as an offer. We'd rather ask for a few more interior photos or a quick call and come back with a band we can actually stand behind.

Can I see why the human changed the model's number?

Yes. Every override is logged with a plain-language reason attached to your file — a bad comp, a hidden repair, an extra bedroom the photos revealed. Ask and we'll walk you through it.

Seller intake

Send the facts and photos. Get a band in minutes.

Answer the structured questions and drop your photos. The model drafts a range; a human closer takes it from there.

Sell My House To AI band view showing a range, a confidence score, and a human closer override note Wireframe house resolving into a photograph