Domumey™

pronounced DOH-mum-ay

Why must renting
and owning be binary?

Residential tenure represented as a continuum from renting at 0% ownership to owning at 100%. Intermediate ownership states: 1%, 5%, 10%, 25%, 40%, and 70%.

But residential ownership
rarely works like this.

Why not?

The familiar conceptual endpoints: rent at 0% and own at 100%. These describe tenure categories, not whether a mortgage is paid off.

These are two very different economic relationships with the same place: home.

Rent

  1. Live in the home
  2. Pay for occupancy
  3. Own 0% of the property

You can remain for months or years while your economic ownership stays at zero.

Own

  1. Acquire the home
  2. Finance or commit substantial capital
  3. Hold an ownership interest

Ownership usually begins with a much larger financial and legal commitment.

The person can change.

The home can change.

The financing can change.

But the familiar categories remain remarkably coarse.

Occupancy can be continuous.

Ownership is usually treated as categorical.

Economic participation often comes in increments.

  • save gradually
  • invest incrementally
  • increase exposure
  • reduce exposure
  • rebalance

Housing is different.
For good reasons.

  • illiquidity
  • law
  • financing
  • control
  • tax
  • maintenance
  • valuation
  • transaction costs

But ‘different’ isn’t the same as ‘incapable of being redesigned.’

Live
Who occupies the home?
Own
Who holds economic interest?

Today, these questions are often bundled into familiar arrangements.

Do they always have to be?

What happens if we treat this as a variable instead of a category?

Resident economic ownership: a continuum from 0% to 100%, with a single intermediate state at 10%.

A hypothetical research persona

Imagine Caroline.

Caroline rents a home in San Francisco.
She likes where she lives.
She may want to stay for years.
She also wants to build long-term wealth.
She doesn’t own the home.

Caroline
Resident
0%

$1,250,000

Suppose this is the home’s fair market value.

What if Caroline could acquire 10%?

10% = $125,000

Owner100%

Caroline
10%
Owner
90%
Domumey
0%

Domumey doesn’t buy the other 90%.
The owner retains it.
Domumey is designed to orchestrate ownership—not warehouse homes on its balance sheet.

  • capital at risk
  • potential appreciation
  • potential depreciation
  • claim on value

This is not a reward for paying rent.

The hypothesis requires real economic ownership.

Live
Caroline
Own
Caroline 10%
Owner 90%

Occupancy and ownership no longer have to move together.

Caroline owns 10%.
Should she still pay 100% of market rent?

Market rent

$6,500 / month

90% × $6,500 = $5,850

Difference: $650 / month

A modeling starting point—not a conclusion.

But wait.

Caroline paid $125,000 for the 10%.

Ownership does not create free money.

Changing who owns the home doesn’t, by itself, make the home more valuable.

  • resident preference value?
  • lower turnover?
  • owner liquidity?
  • better stewardship?
  • lower acquisition costs?
  • longer retention?
  • transaction-cost compression?
  • different risk allocation?

If no real surplus exists, rearranging ownership isn’t enough.

Olivia
Owner
90%

Caroline may want to buy 10%.
Olivia has to want to sell it.

At the same price.

Two people can love the idea
and still have no transaction.

CarolineResident

What is the most Caroline could rationally pay for 10%?

Caroline’s maximum willingness to pay: $ ?
  • alternative uses of her capital
  • expected appreciation and depreciation
  • concentration
  • illiquidity
  • mobility
  • limited control
  • occupancy economics
  • transaction costs

Above this price, the transaction stops making sense for Caroline.

OliviaOwner

What is the least Olivia could rationally accept for that same 10%?

Olivia’s minimum willingness to accept: $ ?
  • expected appreciation and depreciation
  • liquidity value
  • control
  • administrative burden
  • alignment with the resident
  • risk
  • tax consequences
  • transaction costs

Below this price, the transaction stops making sense for Olivia.

Schematic boundaries—not measured prices

Caroline’s ceiling is below Olivia’s floor.

If Caroline’s ceiling is below Olivia’s floor, there is no mutually acceptable price.

No transaction.

Suppose the boundaries just meet.

A hypothetical meeting before transaction friction.

But the transaction has to pay for reality too.

Friction consumes economic room.
  • legal
  • title
  • valuation
  • tax
  • payments
  • servicing
  • compliance
  • administration
  • capital
  • liquidity
  • risk

System friction—not a finalized cost model or separate fees assigned to either person.

A conceptual viability condition

Caroline max WTP>Olivia min WTA+ transaction friction

Only then might there be a transaction.

Possible world 1 · schematic, not a finding

Gap

Caroline’s ceiling does not clear Olivia’s floor + friction.

Caroline’s ceiling does not clear Olivia’s floor + friction.

No transaction.

Possible world 2 · schematic, not a finding

Barely meets

The all-in economic boundaries only barely clear.

The all-in economic boundaries only barely clear.

A transaction may be possible.

Possible world 3 · schematic, not a finding

Material overlap

There is meaningful economic room after Olivia’s minimum and transaction friction.

There is meaningful economic room after Olivia’s minimum and transaction friction.

Potential economic surplus.

That overlap is what we’re looking for.

We shouldn’t choose the transaction price because it makes the model look attractive.

Reality decides whether they meet.

Proposed initial research—not completed interviews

Ask each side independently.

5 Carolines

How much would this actually be worth to you?

5 Olivias

How much would you actually require to give it up?

Don’t let one side’s answer anchor the other.

  • Renters want this.
  • Owners want this.
  • Product-market fit.
  • This is a huge market.

Ten interviews cannot establish any of these.

They can give the hypothesis its first serious chance to fail.

No overlap

Learn why.

Change the mechanism—or kill it.

Overlap

Don’t celebrate.

Test the next thing that could kill it.

A changed mechanism means a new hypothesis and a new experiment—not revised criteria for the completed test.

Even if the economics were compatible

Caroline10%Olivia
  • legal
  • valuation
  • title
  • occupancy
  • payments
  • tax
  • insurance
  • maintenance
  • servicing
  • liquidity
  • capital
  • compliance

Even compatible economics wouldn’t make the product simple.

Every transaction still has to become real.

Making partial ownership imaginable is easy.

Making it economically rational for both sides is harder.

Making it administrable is harder still.

Making it simple may require something that didn’t exist before.

Caroline owns 10%.

Simple enough.

Until you ask what 10% actually requires.

Conceptual requirements—not a selected legal structure

10%

  • ownership structure
  • agreements
  • rights
  • obligations
  • control
  • transfer restrictions
  • disclosures
  • signatures

Someone has to turn ‘10%’ intoan enforceable economic relationship.

10% of what?

  • property value
  • valuation date
  • methodology
  • market changes
  • condition
  • improvements
  • data
  • disputes

Questions a valuation process would need to resolve.

Caroline still occupies the home.

  • occupancy rights
  • occupancy charge
  • utilities
  • HOA
  • maintenance
  • repairs
  • insurance
  • taxes
  • improvements
  • damage

Who pays for what?

Possible events over the life of the relationship

  1. roof repair
  2. kitchen renovation
  3. special assessment
  4. insurance claim
  5. delinquency
  6. refinancing
  7. sale
  8. move
  9. dispute

The relationship has to keep working when the home changes, the people change, or the economics change.

Conceptual increments—not completed transactions or an available capability

  1. 10.0%

    • valuation
    • payment
    • record
    • agreement
    • disclosure
    • compliance
    • tax

  2. 10.5%

    • valuation
    • payment
    • record
    • agreement
    • disclosure
    • compliance
    • tax

  3. 11.0%

    • valuation
    • payment
    • record
    • agreement
    • disclosure
    • compliance
    • tax

  4. 12.0%

    • valuation
    • payment
    • record
    • agreement
    • disclosure
    • compliance
    • tax

A continuum only works if increments can become ordinary.

Conceptual comparison · the same total ownership change

One larger transaction

Administrative work

Many smaller increments

Administrative work, repeated

The smaller the increment, the less administrative cost it can tolerate.

Suppose Caroline held 27% and wanted to reduce or leave.

What happens to the 27%?

27%

  • sell
  • redeem
  • retain
  • transfer
  • settle

Any path has to resolve

  • buyer
  • valuation
  • fees
  • timing
  • tax
  • liquidity
  • settlement

Entry is only half a product.

Exit has to work too.

Conceptual scale—not traction, customers, properties under management, or a forecast

  1. 1 home
  2. 10 homes
  3. 100 homes
  4. 1,000 homes

A one-off transaction can tolerate complexity.

A consumer product cannot expose all of it.

An unresolved system—not an existing servicing stack

CarolineOlivia
  • contracts
  • valuation
  • title
  • ownership records
  • payments
  • occupancy
  • expense allocation
  • compliance
  • disclosures
  • tax
  • insurance
  • servicing
  • capital
  • liquidity
  • communications
  • exceptions
  • audit
  • risk

Caroline should not have to operate this machine.

Neither should Olivia.

Conceptual surface—not a shipping product

Your ownership

10.0%

Simple above.Complex below.

Simple doesn’t mean opaque.

  • what they own
  • how it was valued
  • what it costs
  • what can change
  • what they can lose
  • what rights they have
  • how exit works

The resident should not need to administer the complexity.

But the resident should be able to understand the economics.

Conceptual exception—not an implemented workflow

Ownership record

Valuation conflict detected

Review required

A real system has to know when not to proceed.

None of these problems is new.

  • Contracts aren’t new.
  • Valuation isn’t new.
  • Servicing isn’t new.
  • Compliance isn’t new.
  • Exceptions aren’t new.

The question is whether the cost of administering them has changed.

Something changed.

Enter frontier AI.

AI doesn’t fix the economics.

  • It doesn’t make Caroline want the transaction.
  • It doesn’t make Olivia accept it.
  • It doesn’t make an illegal structure legal.
  • It doesn’t create liquidity.
  • It doesn’t eliminate capital requirements.

So why does it matter?

  • read
  • extract
  • classify
  • compare
  • calculate
  • draft
  • check
  • explain
  • monitor
  • reconcile
  • route exceptions

A surprising amount of administrative complexity is made of work like this.

Caroline’s hypothetical 10% transaction · conceptual cost pressure, not a finding

10%

  • documents
  • rules
  • valuation inputs
  • agreements
  • calculations
  • disclosures
  • checks
  • exceptions

Historically, enough work around a small transaction can make the transaction uneconomic.

Administrative cost can destroy surplus.

Conceptual viability condition

Caroline max WTP>Olivia min WTA+ transaction friction

Schematic cost pressure—not measured costs or an agreed transaction

Transaction frictionRemaining economic room

Economic room before additional friction.

Schematic cost pressure—not measured costs or an agreed transaction

Transaction frictionNo remaining economic room

More friction can consume the remaining room.

Schematic cost pressure—not measured costs or an agreed transaction

What if some of this became dramatically cheaper to administer?

Transaction frictionRemaining economic room

Less friction could leave more room. Whether the transaction clears remains unknown.

  • forms
  • databases
  • APIs
  • structured workflows
  • deterministic rules
  • IF / THEN

Traditional software is extraordinarily good when the world has already been made structured.

Housing often isn’t.

  • leases
  • title documents
  • HOA documents
  • emails
  • inspection reports
  • valuation materials
  • regulations
  • amendments
  • disclosures
  • correspondence
  • exceptions

The rules may be clear while the evidence arrives as language, documents, exceptions, and context.

The boundary of what software can work with has moved.

Conceptual actions—not guaranteed outputs

document
extract
rule
compare
exception
classify
agreement
draft
evidence
check
case
explain

A conceptual extraction error

10% → 100%

In housing, that kind of error matters.

‘Usually right’ isn’t a product architecture.

Conceptual architecture—not an implemented Domumey system

AI-assisted work

  • structured data
  • deterministic calculations
  • source traceability
  • validation
  • permissions
  • rules
  • audit trail
  • human review
  • exception handling
  • testing

The opportunity isn’t to hand housing decisions to a model.

AI handles work it is good at—and everything important remains verifiable.

Hypothetical Caroline example—not an implemented workflow

Source A

Caroline ownership interest: 10%

AI-assisted extraction
10%

Source: A · Caroline ownership interest

Deterministic arithmetic
$1,250,000 × 10% = $125,000

The hypothetical sources conflict.

Source A

Caroline ownership interest

10%
≠

Source B

Caroline ownership interest

9%

Needs review

The system should surface the conflict,
not invent certainty.

Working allocation of responsibilities—not universal rules

Good candidates for AI

  • read
  • extract
  • classify
  • draft
  • summarize
  • compare language

Better deterministic

  • arithmetic
  • thresholds
  • ledger logic
  • state transitions
  • known rules

Escalate

  • conflicts
  • missing evidence
  • ambiguous rights
  • high-impact exceptions

Different work deserves different machinery.

Conceptual increments—not transactions or current capability

  1. 10.0%

    record
    calculate
    check
    review

  2. 10.5%

    record
    calculate
    check
    review

  3. 11.0%

    record
    calculate
    check
    review

  4. 11.5%

    record
    calculate
    check
    review

The smaller the increment, the more ruthless the cost structure must become.

If the machinery stays expensive, the continuum may never work.

Working technological proposition

Frontier AI may make previously uneconomic administrative complexity cheap enough to productize.

May.

That has to be tested too.

Dimensions to measure—not results

  • cost
  • accuracy
  • speed
  • explainability
  • exception rate
  • human-review burden
  • trust
  • error severity

Better models matter only if these numbers move enough.

Conceptual before / after hypothesis—not measured performance

Before

administrative work
high
manual review
high
time
high
small-transaction viability
low

After — hypothetical

administrative work
lower
manual review
targeted
time
lower
small-transaction viability
?

The technology only matters if it changes the economics of the system.

Conceptual surface—not a shipping product

Your ownership

10.0%

If this works, Caroline shouldn’t need to care which model read which document.

She should care that her ownership is correct, understandable, and useful.

Conceptual progression—not transactions or current capability

If small increments could become administratively ordinary…

Conceptual ownership continuum from 0% to 100%. The region from 10.0% to 11.5% is magnified to distinguish hypothetical intermediate states at 10.0%, 10.4%, 10.9%, and 11.5%.

…ownership itself could start behaving differently.

What if ownership could become incremental?

Conceptual ownership states—not current Domumey transactions or capabilities.

10%

But there is nothing magical about 10%.

Conceptual ownership continuum from 0% to 100%. Intermediate states: 3%, 7%, 14%, 26%, 41%, 68%. Neither endpoint is a goal or completion state.

Ownership today

often experienced as a major event

BUY

Ownership as a variable

could change over time

What if ownership were a state that could change over time?

Conceptual interaction—not a shipping product.

Add ownership

+$500

A contribution could acquire a fairly priced additional interest.

For that to work, the increment has to matter—and the transaction has to be cheap enough to administer.

A hypothetical sequence—not a purchase schedule

  1. Month 1+ ownership
  2. Month 2+ ownership
  3. Month 3+ $0
  4. Month 4+ ownership
  5. Month 5+ $0
  6. Month 6+ ownership

Ownership could accumulate at Caroline’s pace.

Including not at all.

A conceptual destination

32%

32% doesn’t have to mean ‘not yet.’

Partial ownership could be a stable destination.

100% could be one possible point—not the definition of success.

Possible uses of capital—not allocation advice

  • housing ownership
  • cash
  • public markets
  • retirement
  • education
  • business
  • other goals

More housing ownership isn’t automatically better.

A continuum creates choice.

It doesn’t decide what choice is optimal.

Unresolved mechanisms—not available Domumey features

Less ownership ↔ More ownership

Conceptual ownership continuum from 0% to 100%. Intermediate states: 27%, 32%. Neither endpoint is a goal or completion state.

A real continuum needs a way back.

  • sell?
  • redeem?
  • retain?
  • transfer?
  • settle?

Without credible exit, ‘ownership’ can become a trap.

Open design questions—not current product terms.

27%

Caroline moves.

What happens to the 27%?

  • retain the interest?
  • sell it?
  • redeem it?
  • transfer value?
  • carry some economic value forward?

An unresolved aspiration—not a selected mechanism

Home A

27% interest

realization / settlement / restructuring

Mechanism unresolved

Home B

potential ownership interest

Could housing wealth become less attached to staying in one place forever?

Every hypothetical increment still needs another side

Caroline

wants +0.5%

Olivia / capital provider / other selling interest

must rationally supply it

The continuum cannot be manufactured by interface design.

Every increment still has to clear reality.

Conceptual system architecture—not an implemented capital structure.

  • Resident
  • Property owner
  • Third-party capital

DOMUMEY

0% home ownership

Coordination / orchestration

Domumey orchestrates the system.

It doesn’t need to own the homes.

Conceptual surface—not a shipping product.

Your ownership

27.4%

The hard part should happen underneath.

The resident experience should feel ordinary.

Conceptual states—not observed market behavior.

A housing system with more than two ordinary states.

Conceptual ownership continuum from 0% to 100%. Intermediate states: 4%, 12%, 27%, 39%, 61%. Neither endpoint is a goal or completion state.

None of this exists because we drew it.

A compelling product vision is not evidence.

We don’t know if the continuum works.

  • Will residents value it enough?
  • Will owners give up economics at acceptable prices?
  • Can both sides clear after transaction friction?
  • Can it be structured legally?
  • Can capital support it?
  • Can exit work?
  • Can liquidity work?
  • Can the system be administered safely?
  • Can the economics survive at small increments?
  • Can it scale without Domumey owning the housing assets?

Any one of these can kill the idea.

Good.

  1. Hypothesis
  2. Experiment
  3. Evidence

So we’re not building the continuum yet.

We’re trying to kill it first.

We’re trying to kill it first.

Because the cheapest time to discover a fatal flaw is before you build the company around it.

Hypothesis≠Company strategy

Questions for the Continuum

  • Do residents rationally value it?
  • Do property owners rationally accept it?
  • Can both sides clear at the same economics?
  • Can it be made legally and regulatorily workable?
  • Can capital participate on acceptable terms?
  • Can ownership be liquid enough?
  • Can Domumey make money without becoming the capital provider?
  • Can the machinery scale safely?

The hypothesis doesn’t get a lawyer.
It gets a trial.

There isn’t one Rent–Own Continuum™ (ROC) hypothesis.

Every gate gets a veto.

An evidence hierarchy—not evidence collected

  1. interesting
  2. would use
  3. would pay
  4. reservation value / stated economic boundary
  5. commitment
  6. transaction

Enthusiasm is not willingness to exchange value.

Stated willingness is not revealed behavior.

Schematic recruitment example—not observed counts

  1. 50 see recruitment
  2. 5 respond
  3. 1 qualifies
  4. 0 ROC exposures

What did we learn about ROC?

Nothing.

If qualified participants never encounter the mechanism, recruitment friction tells us nothing about the mechanism.

Schematic screening example—not observed counts

  1. 50 screened
  2. 5 qualified

This does not establish Demand

Qualification selects the experiment.
It does not answer the experiment.

Planned matched-pair falsification probe · each side asked independently

5 Carolines

5 Olivias

  • Renters want ROC.
  • Owners want ROC.
  • Product-market fit.
  • This is a huge market.

Ten interviews cannot establish any of these.

Small-n interviews are probes, not population estimates.

They can give the hypothesis its first serious chance to fail.

Decide before observing outcomes

  • eligibility
  • sample
  • questions
  • selection
  • stopping rule
  • failure criteria
  • evidence standard

The rules are more valuable before the answers exist.

Don’t move the goalposts after reality answers.

Possible contradictory results—not observed responses

Caroline

“Love the idea.”

but

maximum willingness to pay is too low.

Olivia

“Would consider it.”

but

minimum willingness to accept is too high.

The contradiction is the finding.

A possible experimental outcome—not a finding

FAIL

Failure would not make the experiment unsuccessful.

It could save years.

A possible experimental outcome—not a finding

SURVIVES

A surviving hypothesis earns one thing.

A harder test.

Ten interviews must earn interview eleven.

A proposed sequence—not completed stages

  1. model
  2. qualify
  3. interview
  4. behavior
  5. legal
  6. capital
  7. liquidity
  8. pilot

Cheap questions first.
Expensive questions later.

ROC isn’t the only thing being tested.

Domumey’s judgment is too.

REALITY.

The hypothesis doesn’t have to survive.
Domumey does.

  1. Hypothesis
  2. Evidence
  3. Decision

So what evidence do we need next?

Proposed initial interviews—not completed interviews

  • 5 Caroline interviews
  • 5 Olivia interviews

Start with the smallest thing that must become true.

Forget scale.

Before any of this matters, something much smaller has to work.

scale · capital · liquidity

one home · one pair

Representative hypothetical transaction

$1,250,000 home

Caroline

Resident

Olivia

Owner

Can they rationally want the same transaction?

Proposed recruitment · before any interview

Find a qualified renter.

  • San Francisco is her primary residence
  • currently rents
  • does not own or co-own her residence
  • has lived in her current place for at least 6 months
  • regularly engages in long-term wealth behavior
  • could plausibly allocate meaningful capital without borrowing or using money needed for basic needs

Before showing the mechanism.

Recruit the person before revealing the idea.

  • capacity
  • behavior
  • relevance

We’re not asking whether everyone wants this.

We’re asking whether someone who could rationally choose it actually would.

Proposed recruitment · the owner’s perspective

Find a qualified property owner.

Someone who actually owns residential property and can meaningfully evaluate giving up part of its economics.

Same transaction. Other side.

Caroline

Resident

Olivia

Owner

Measure each side independently.

  • No anchoring.
  • No borrowed answers.
  • No negotiated number.

Do not let one side’s answer become the other side’s starting point.

The interview isn’t a sales call.

  • No founder persuasion.
  • No rescue explanations.
  • No changing the mechanism when someone dislikes it.

If the mechanism needs persuasion to survive the experiment, we need to know that.

The hypothetical choice · both upside and downside

real economic ownership

With potential:

  • appreciation
  • depreciation
  • concentration
  • illiquidity
  • transaction costs
  • limited control
  • opportunity cost
  • exit uncertainty

The experiment only counts if the choice is understood.

  • Interesting.
  • I’d consider it.
  • I like the idea.

At what price?

Caroline

max WTP

$ ?

Olivia

min WTA

$ ?

Economic boundaries to elicit—not observed prices

Hypothetical viability condition—not a result

Caroline max WTP

>

Olivia min WTA

+

transaction friction

One honest overlap would be interesting.

Possible result · schematic gap, not measured values

CarolineOlivia

Don’t explain it away.

The gap is evidence.

It may mean the mechanism, economics, or assumptions need to change—or the hypothesis may need to die.

Possible result · hypothetical overlap, not measured values

A hypothetical economic continuum between Caroline and Olivia, with a possible area of compatible economics emerging between them.

An overlap earns a harder test.

Still unresolved:

  • downside
  • fees
  • legal structure
  • exit
  • capital
  • behavior

Proposed initial research—not completed interviews

5 Carolines

5 Olivias

Look for compatible economics before buying more evidence.

Ten interviews must earn interview eleven.

If the first ten expose a fatal contradiction, more interviews can make the contradiction expensive.

If they expose unresolved but potentially compatible economics, broader research may be worth purchasing.

  • market size
  • prevalence
  • product-market fit
  • scale
  • broad renter demand
  • broad owner demand

Ten interviews cannot establish these.

They can tell us whether the hypothesis deserves to remain alive.

Representative hypothetical transaction

One Caroline.One Olivia.One home.

One transaction both would rationally choose.

Under honest economics.

Each requirement remains unresolved · from the smallest truth outward

  1. compatible economics
  2. legal
  3. capital
  4. exit
  5. safe administration
  6. repeat
  7. scale

The future gets to exist only if each smaller truth earns the next one.

Next proposed research target—not underway or completed

early empirical falsification

5 Caroline interviews

5 Olivia interviews

This is where Domumey is now.

  • economic
  • behavioral
  • legal
  • capital
  • liquidity
  • technical

Evidence isn’t free.

  • time
  • participant compensation
  • legal work
  • founder execution
  • tools
  • operations

But building the wrong company costs much more.

So how much runway should we buy to find out?

So how much runway should we buy to find out?

Approximately 12 months.

Enough time to let evidence—not urgency—decide what happens next.

$80,000

Domumey 12-Month Evidence Round

Approximately 12 months of lean, founder-led execution and stage-gated research.

The round is not primarily to:

  • buy homes
  • subsidize transactions
  • hire a large team
  • manufacture traction
  • build the full continuum before evidence exists

It is capital for finding out.

The capital does not assume the hypothesis is right. It funds the experiments that can tell us whether it is wrong.

Modeled 12-month needs · working budget, not historical spending

What the round funds.

Lean founder execution + known payroll
≈ $44,200
Ordinary San Francisco minimum-wage benchmark for a full-time year, plus known employer payroll burden.
Company overhead
≈ $6,000
Provisional lean model: $500 per month.
Staged ROC research reserve
up to $15,000
A ceiling, not a spending target. Later research must be earned by earlier evidence.
Engineering workstation
≈ $4,000
Reserve for an AI-capable founder engineering setup.
Runway contingency
≈ $10,380
15% runway insurance, not spending authorization.
Total modeled need
≈ $79,580
Rounded Evidence Round
$80,000

Staged ROC research reserve · not a spending commitment

Up to $15,000.

A reserve is a ceiling, not a spending target.

If an earlier experiment kills the hypothesis, later ROC research should not automatically be purchased.

Proposed evidence sequence · currently at early empirical falsification

  1. cheap questions
  2. qualified participants
  3. economic overlap
  4. behavior
  5. legal feasibility
  6. capital
  7. liquidity
  8. safe administration
  9. repeatability

Each stage has to earn the next expenditure.

If the early evidence kills ROC

If ROC dies early, we do not spend the rest trying to prove it alive.

Remaining runway stays with Domumey.

Return to the broader residential opportunity landscape.

The hypothesis doesn’t have to survive. Domumey does.

If the early evidence permits another test

If ROC survives the early tests…

It earns harder evidence.

  • deeper research
  • legal analysis
  • capital testing
  • liquidity testing
  • operational prototypes

Eventually a pilot, only if earlier gates earn it. Any next financing should rest on materially stronger evidence than exists today.

Two possible paths · neither is an observed outcome

ROC fails

  1. stop spending against the dead hypothesis
  2. preserve runway
  3. return to the broader search

ROC survives

  1. buy the next hardest evidence
  2. reduce uncertainty
  3. decide again

In both cases, the capital did its job.

The output is not necessarily a launched product. It is a better decision.

Success is not proving ROC right.

Success is knowing what Domumey should do next—and having evidence strong enough to justify it.

Evidence isn’t free.

But building the wrong company costs much more.

$80,000

time · experiments
evidence · decisions

Modeled for approximately 12 months—not a guaranteed runway duration.

Evidence before infrastructure.

  1. $80K
  2. evidence
  3. decision

The Evidence Round · testing the ROC hypothesis

We are raising an $80,000 Evidence Round to fund approximately 12 months of lean execution and determine whether this deserves to become a new residential economic infrastructure layer.

Because ROC is a hypothesis.
Domumey is the company.

Project Renaissance

The question did.

ROC did not come first.

If Domumey were founded today—with everything we now know about frontier AI—what company should we build?

Project Renaissance · started July 2026

Discover the single highest-leverage opportunity to build an enduring AI company in residential housing.

  • Understand reality.
  • Compare opportunities.
  • Earn the strategy.
  • Existing code ≠ demand.
  • Founder familiarity ≠ market attractiveness.
  • Technical possibility ≠ product-market fit.
  • A compelling story ≠ evidence.

No candidate gets incumbency.

DomDeposit™

Already built.
Already understood.
Still not entitled to win.

If we had never built it, would the evidence make us choose it today?

Sunk cost

  • Previous effort
  • Past architecture
  • Founder attachment
  • Product name

→ not a reason to continue

Reusable capability

  • Housing knowledge
  • Structured cases
  • Document handling
  • Rules
  • Calculations
  • Evaluation
  • Security discipline

→ a legitimate execution advantage

Reuse what remains valuable.
Abandon what does not.

Selected candidate domains · not exhaustive or ranked

Several plausible domains.

  • security deposits
  • renter dispute navigation
  • maintenance & property operations
  • homeownership administration
  • property-management operations
  • persistent housing state
  • adaptive reuse intelligence
  • Rent–Own Continuum™

None had earned the company.

Selection grammar—not a quantitative scorecard

  • severe problem
  • valuable outcome
  • reachable customer
  • AI leverage
  • measurable performance
  • compounding advantage
  • expansion potential

A weakness in several can disqualify an opportunity.

Research can tell us what looks plausible.

It cannot tell us what customers will actually choose.

  • pain
  • current behavior
  • willingness to pay
  • trust
  • distribution
  • repeat engagement
  • delegation
  • competition

Those questions require contact with reality.

Several residential-housing problems appear newly more solvable because of frontier AI.

Illustrative examples · not a shortlist

  • security deposits

    discrete renter financial problem

  • maintenance & property operations

    operational housing problem

  • Rent–Own Continuum™

    fundamental housing-economic hypothesis

The evidence did not establish which one should become Domumey’s company.

One question became interesting enough to deserve its own falsification program.

Why must residential occupancy and residential ownership be binary?

Rent–Own Continuum™ (ROC)

Candidate thesis — under investigation

Opportunity field

ROC

Investigation

Promoted to investigation.

Not promoted to company strategy.

Independent requirements · all unresolved

  • resident value
  • owner value
  • economic surplus
  • legal architecture
  • capital
  • liquidity
  • safe administration
  • Domumey economics
  • scalability

Conceptual architecture · the hypothesis is removable

  1. Domumey
  2. Project Renaissance
  3. ROC

A hypothesis can disappear without taking the company with it.

That is the point.

If ROC fails · the broader search remains

If ROC dies early, we do not spend the remaining runway trying to resurrect it.

We return to the opportunity landscape.

The Evidence Round preserves the ability to change our mind.

If ROC survives, it earns harder evidence.

  • validated
  • proven
  • winner

Only evidence can move it from candidate thesis toward company strategy.

The hypothesis may change.
The understanding compounds.

Not the most exciting idea.

The strongest opportunity reality will let us earn.

Maximum ambition.
Maximum intellectual honesty.

REALITY WINS.

The product can change.
The mission can endure.

Ownership continuum from rent at 0% to own at 100%, with the space between the endpoints intentionally unresolved.

Maybe this space is empty for good reasons.

Maybe it is a missing residential economic primitive.

We are going to find out.

The next evidence is small.

Hypothetical experiment · not a completed transaction

  • 1 home
  • 1 Caroline
  • 1 Olivia
  • 10%

One transaction both sides would rationally choose.

Under honest economics.

Proposed next research · not completed interviews

  1. 10 interviews
  2. economic boundaries
  3. evidence
  4. decision

If the economics do not clear, we learn why.

If they do, the hypothesis earns a harder test.

Domumey is raising an $80,000 Evidence Round.

Approximately 12 months of lean founder-led execution and stage-gated research.

The capital does not assume the hypothesis is right.
It funds the experiments that can tell us whether it is wrong.

  1. question
  2. experiment
  3. evidence
  4. decision

Capital for finding out.

Conceptual ownership continuum: rent at 0%, own at 100%, with hypothetical intermediate points at 1%, 5%, 10%, 25%, 40%, and 70%. Intermediate ownership remains unvalidated. Neither endpoint is a completion state.

Maybe this space is empty for good reasons.

Maybe it isn’t.

Domumey™

DOH-mum-ay

San Francisco

Building better questions before building the answer.

Talk to the Founder →

$80,000 Evidence Round