HouseGraph
Autonomous Home Transaction Layer
Turns every home into a verified, queryable AI agent that can tour, explain, negotiate, and coordinate the sale of that property at a fraction of traditional transaction cost.
In 2024, commissions and related ownership-transfer costs in U.S. residential real estate totaled about $170 billion, roughly 0.6% of U.S. GDP.
Open a listing and ask the house anything. When was the roof replaced? Which permits were pulled? How durable is this countertop? Why did the seller replace the furnace early? What did the last inspection flag? Then walk the home alone, on your own schedule, with the app seeing what you see and answering in real time. When you are ready, the same system drafts the offer package, routes redlines, coordinates inspections and escrow, and keeps humans and attorneys only where trust, regulation, or edge cases actually require them.
Priced like an artisanal service,
running on fragmented memory.
Residential real estate is still priced like a high-touch artisanal service even though much of the work is repetitive, document-heavy, and coordination-bound. Buyers want answers, not charm. Sellers want reach, trust, and speed, not a 5% to 6% tax on inertia.
The deeper problem is not just commission size. It is that the home itself has no persistent digital brain. Every transaction starts over. The listing knows a little. The seller knows more. No one has the full state of the asset in a structured, queryable form. That is why the market still behaves like coordination theater instead of software.
Every home gets a brain.
Every transaction gets an operating system.
The mechanism comes first. Build a verified property graph for every home. Ingest listing data, disclosures, permits, receipts, maintenance logs, inspection reports, appliance models, photos, floor plans, warranty documents, neighborhood context, seller Q&A, and live visual input from the buyer’s phone. Then use multimodal agents to reason over that graph and answer questions with traceable grounding.
Product Form
1. AI Listing Agent
The home gets its own agent. It knows the documents, the systems, the upgrade history, the risk factors, the neighborhood context, and the common buyer objections.
2. Self-Guided and Remote Tours
Buyers unlock homes, tour on their own time, and ask questions live by voice or camera. Escalates to a homeowner or licensed agent if unknown.
3. Transaction Operating System
Offers, disclosures, inspection responses, amendments, title coordination, escrow checklists, lender packet assembly, and closing prep move through one workflow.
4. Persistent Home Passport
After close, the property graph does not disappear. It becomes the canonical system of record for resale, maintenance, warranties, remodels, insurance intake, and future financing.
Who we serve.
A homeowner in Phoenix uploads five years of receipts, appliance warranties, permits, and the old inspection report. HouseGraph turns that mess into a structured, buyer-facing AI agent. Showings become self-guided. The seller answers only the rare edge-case questions.
An out-of-state buyer tours six homes in one Saturday without coordinating six agent calendars. The app sees the cracked grout, identifies the water heater model, explains quartz durability, compares roof age to local norms, and highlights which repairs matter versus which are cosmetic.
A homebuilder, iBuyer, or scattered-site investor runs hundreds of listings through the platform. Tour scheduling, listing Q&A, offer intake, and transaction coordination become software margins instead of local labor overhead.
Neglectedness
Massive Market
The Federal Reserve notes that U.S. residential real estate averages over 5 million new and existing home sales per year over the past decade, with about $1.5 trillion in annual transaction volume.
Residential transactions are high value, episodic, trust-heavy, and document-heavy. This makes it exactly the kind of market where AI can compress labor, coordination delay, and information asymmetry.
Why Now?
ReadinessBuild Now- Compensation is explicit. Written buyer agreements are now required before an agent tours a home, forcing consumers to think about costs.
- Self-guided touring is proven. Opendoor has normalized unlocking select homes with a phone.
- Consumer expectations. The market expects asynchronous workflows and rich search. Rebuilding the trust layer is now viable.
Start with the integrated platform, price each layer separately.
0.5% to 1.0% for AI listing, self-tour access, buyer Q&A, and workflow orchestration.
Flat-fee or hourly guided support for negotiation and diligence where humans are wanted.
Platform usage fees for homebuilders or institutions that want the system white-labeled.
Annual Home Passport fee for homeowners who want the graph maintained between transactions.
The Magical Wedge
Lead with something operationally simple: “Ask this home anything.”
Offer every seller a free AI-generated Home Passport that turns their messy house records into a clean, interactive data room. The buyer experience itself becomes the ad. Vacant inventory owners and homebuilders adopt it instantly because it completely eliminates scheduling friction.
Moat and Defensibility.
Difficulty to Bring to Market
Huge upside, but this is a hard execution company disguised as a software company.
Moat Potential
The moat is the verified property graph plus transaction exhaust. Every interaction compounds the dataset.
Structured interfaces to real-world assets.
As models get cheaper and better, more of the transaction stack becomes autonomous. The product can move from Q&A and workflow into pricing strategy, concession simulation, repair triage, financing optimization, title anomaly detection, insurance packaging, and portfolio-level liquidity decisions. Eventually, the home is not just listed online. It is represented online.
Civilizational Impact.
This is not a housing-shortage cure by itself. It will not pour concrete or upzone cities. But it does attack a major coordination tax on housing liquidity and human mobility.
Lower transaction friction means people can move more easily toward jobs, family, affordability, and better local opportunities. It shifts the market away from opacity and toward asset-level truth. A cleaner interface between people and one of the largest assets they will ever own.
44Impact Score
KPIs
- Percentage of buyer questions resolved without human handoff
- Tour-to-offer conversion rate vs control
- Days on market vs local comparables
- Seller acquisition cost to gross profit payback
- Variable service cost per transaction as % of sale price
Open Source Priority
First Experiment Validation
Minimal, falsifiable test: Launch on 20 to 30 vacant or builder-controlled homes in one metro. Give each listing a Home Passport, buyer-facing AI Q&A, and self-guided tour flow.
Hypothesis: Listings with "Ask this home anything" plus self-tour access will generate at least 25% more qualified buyer engagement, cut repetitive human Q&A by 50%, and support a seller-side service cost structure materially below traditional listing economics.
Transferable Insight
"In high-trust markets, the real AI wedge is rarely “replace the professional.” It is turn the underlying asset into a continuously updated system of record, then let professionals plug into that system only where their judgment still matters."
Acronyms & References
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Builder Proof-of-Work
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