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A clearer path
through uncertainty.

We are bringing AI and advanced simulation to residential real estate, so decisions can be made with a fuller view of what might happen next.

Many possible paths from one homeA conceptual fan of possible sale outcomes, not a forecast for a particular property.
A schematic of possible outcomes, not a property forecast.
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A more informed
housing future.

On the day a home is listed, its owner is not just choosing a price. They are choosing how to prepare it, when to go live, what to do if the first week is quiet, and how long they can afford to wait.

These choices are often reduced to a single estimate and a single confident opinion. But a sale is not a straight line. It is a chain of events that may move quickly, stall, restart, or fail to close.

We started Oftu with a different question:

How much usable cash might this property produce, by when, and with what risk?

A home is
not a number.

A price estimate tells you what a home might be worth. It does not tell you when an offer arrives, whether it survives inspection and financing, or when the money is actually available.

A sale moves through several statesPreparation, listing, showings and an offer can lead to contract and close, or return to market. Both paths matter.PrepareListShowOfferContractCloseReturn to market
  1. Prepare
  2. List
  3. Show
  4. Offer
Contract → CloseReturn to market
An illustrative journey, not a forecast.

The path that returns to market matters as much as the one that closes. If we only learn from completed sales, we miss the uncertainty people are trying to manage.

The path changes when
the choices change.

A list price is not a plan. We want to make it possible to explore the chance of closing by a date, the cash that might actually be available then, and how those possibilities change with preparation, timing, and price.

Cumulative chance of sale
Illustrative sale likelihood by strategy and dayThree hypothetical strategies have different sale-likelihood paths over 90 days. These are schematic curves, not measured forecasts.0306090Days on marketPrepare firstList nowWait and reassessIllustrative sale likelihood over 90 daysThree hypothetical strategies can have different paths through time. The lines are conceptual and do not represent measured probabilities.0306090 days
Illustrative paths only. A real estimate would require property-specific evidence and validation.
  1. 01

    Understand the home

    Start with the property, its condition, its competition, and the market around it. Make the evidence visible.

  2. 02

    Test the options

    Explore different launch prices, preparation choices, and responses to a slower or faster market.

  3. 03

    Keep learning

    New listings, buyer response, and contract events change the picture. The plan should be able to change too.

Better questions need honest answers.

Clarity also means showing
what we do not know.

AI can help make sense of records, images, and local context. Simulation can explore possible outcomes under different assumptions. Neither should turn missing evidence into false precision. We are building toward explanations that show the source of an input, let people change it, and make uncertainty part of the answer.

Intelligence is useful when it explains the possibilities.

AI can help make sense of messy property evidence. Simulation tests what could happen under different choices. Together, they can turn an opaque sale into a set of questions worth asking.

Evidence

Understand the home and its market.

Simulation

Test different paths and decisions.

Decision

See the tradeoffs, not just one answer.

Our direction, not a live property forecast.

The future should be
something you can explore.

We are at the beginning. If you believe residential real estate deserves a clearer way to reason about what comes next, we would like to build it with you.

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