Aszora is the brokerage where AI runs the deal. Lead capture, listing creation, offer analysis, counter drafting, MISMO handoff to the lender, end to end. The transaction becomes structured data the moment it begins.
By the founder Nicole Beaulieu, PhD, Computer Science · Formerly CTO at Figure Technologies · Inventor on 25+ patents
The end-to-end transaction flow runs against real infrastructure right now. Listing through close, ten microservices, MISMO 3.4 webhook delivered to a real receiver.
The UI is in active build. The pipe is not.
The moment a contract clears, aszora emits a MISMO 3.4 compliant payload to the lender's webhook. Property, parties, financing terms, contingency clocks, and the audit chain back to the listing. All typed. All validated. All before the borrower's phone buzzes.
This is what every lender's loan origination system has been waiting two decades for.
{
"event": "contract.executed",
"mismoVersion": "3.4",
"transactionId": "tx_01HEJF...9KQT",
"property": {
"address": "117 Bristlecone Ct, Reno, NV 89519",
"apn": "043-271-15",
"jurisdiction": "NV"
},
"purchasePrice": 127500000, // cents
"closingDate": "2026-06-30",
"financing": {
"lenderId": "bay-cap-mtg",
"loanAmount": 102000000,
"downPayment": 25500000,
"contingencyDeadline": "2026-05-29"
},
"parties": {
"sellerOfRecord": "prin_01HE...AB12",
"buyerOfRecord": "prin_01HE...CD34"
},
"auditChain": "sha256:9f3a...2c4e"
}Aszora is the broker of record. The AI does the listing agent's work, from the first inquiry to the lender handoff. The human stays in the loop where judgment matters, and out of it where it doesn't.
Inbound leads land in a structured intake. The AI asks the qualifying questions, books the showing, and adds the contact to the right arc. No CRM data entry, no missed leads, no lead-form fatigue.
Address, photos, and seller intake become a complete listing draft. Copy, comps-based pricing, jurisdiction-correct disclosures, MLS-ready fields. Reviewed by the seller in minutes, not days.
Each incoming offer is scored on price, terms, contingencies, financing strength, and timing. The seller sees the ranking with reasoning, not a stack of PDFs and a phone call at 11 PM.
Given seller priorities, the AI drafts a counter with the price, terms, and rationale. The seller approves, edits, or rejects. Negotiation moves at the speed of typing, not the speed of email.
Inspection, financing, appraisal, title: every contingency is tracked from the moment the contract executes. The AI surfaces what needs action today, not what missed the window yesterday.
The moment a contract is signed, a MISMO 3.4 compliant payload fires to the lender's webhook. No PDF, no re-keying, no waiting. Underwriting begins before the borrower's phone buzzes.
For the first time, the full transaction record exists as structured data. Not just the outcome. The arc, the timing, the terms that moved, the terms that held. A dataset no one else can build, because no one else owns the origination point.
The product is the surface. The data is the moat.
Nicole Beaulieu. Six years at Figure Technologies, architecting the embedded lending platform behind 100+ private-label partnerships. The platform now drives $1B+ in monthly loan volume. I joined as a Principal Engineer in 2019 and worked up through Director, VP Engineering, and CTO. I built the engine before I ran it.
Inventor on 25+ patents across lending and gaming. Principal inventor on a blockchain-based mortgage assignment registry. PhD, Computer Science (UNR, 2025); the dissertation formalized 30+ years of building the infrastructure that other companies' products run on top of.
The lender side I've already built. The brokerage side is what I'm building now.