USE CASE · BROKERAGE

Built for the operators generic real estate tech was never built to serve.

Independent brokerages, boutique investment shops, private capital groups, off-market operators, and vertically integrated real estate teams all move at a speed that spreadsheet-and-CRM stacks were never designed to handle. Oz builds the systems that let them move faster.

Book a scoping call

The way real estate operators do business has changed. The tooling has not.

Real estate used to run on a rolodex, a fax machine, and a network you built one lunch at a time. That model held for decades. It does not hold anymore.

Today an independent brokerage or investment shop runs on a stack that was assembled, not designed. A CRM built for residential agents managing 40 listings, not an operator tracking 400 counterparties across active deals. An email inbox where every buyer, seller, broker, and lender conversation lives in threads that go cold the moment the operator stops manually replying. A pipeline tracked in a spreadsheet that gets updated on Sunday nights, if at all. A phone that rings during a walkthrough and gets ignored, then never called back. Each tool was sold as a solution. Together they leave the operational weight of the entire shop on the principal.

Meanwhile, deals move faster than they ever have. Buyers expect responses in minutes. Sellers want status updates without asking. Off-market opportunities close before a slow operator can even schedule a call. Capital moves faster than paperwork. The margin between winning a deal and losing it has collapsed to whoever can respond first, with the right context, in the operator's own voice. The operators who will dominate the next decade are the ones who stop replying to every message themselves and start operating on systems that respond, track, and follow up on their behalf, at their tempo, in their voice, on infrastructure they control.

CAPABILITIES

Systems designed around how your shop actually operates.

Every Oz engagement starts with how your shop already runs — the specific counterparties, the deal stages that matter to you, the tone you use with a seller vs a broker vs a capital partner, the internal handoffs, and the exceptions. There are no templates. There are no forced workflows. There are no guardrails on what can be built. If you can describe it, Oz can build it, deploy it on infrastructure you control, and hand it back to you to run. The examples below are patterns we have built and can build again. They are not the ceiling.

  1. Autonomous email agents that handle deal communication in your voice.

    Agents trained on the operator's writing style, tonality, and negotiation patterns, deployed on the operator's own infrastructure. Every inbound message routed by intent: buyer inquiry, seller update, broker outreach, capital partner question, LP request, vendor coordination. Responses drafted or sent autonomously depending on the sensitivity of the thread, with full context of the deal history, counterparty relationship, and current pipeline stage. The operator's inbox stops being a bottleneck. Deals do not go cold because the principal was on a plane.

  2. Off-market deal pipeline with counterparty intelligence.

    Agents that watch every inbound signal — cold emails, LinkedIn messages, broker mentions, referral hand-offs — and construct a live pipeline of off-market opportunities before they hit any public listing. Each opportunity tagged with the counterparty's history, prior deal terms, current motivation, and where they sit in the operator's larger network. Deals that used to require three follow-up calls to reconstruct are visible at a glance.

  3. Deal-flow reporting and LP communication, generated from actual data.

    Agents that pull from the operator's active pipeline, closed transactions, portfolio performance, and capital deployment history, and generate quarterly LP updates, capital call memos, deal summaries, and internal reporting in the operator's own format and voice. No more assembling a deck from spreadsheets the night before a partner meeting.

  4. Voice agents for inbound calls, trained on your deals and your portfolio.

    Voice agents trained on the operator's active listings, deal stages, portfolio composition, and standard responses to broker outreach, seller inquiries, and buyer questions. Calls that would have gone to voicemail get answered, triaged, and either handled directly or routed to the correct person on the team, with full context of who's calling and why.

  5. Private AI, deployed on infrastructure you control.

    This is the architecture that separates Oz from every generic AI vendor selling into real estate. Every model, every agent, every workflow can be deployed on the operator's own infrastructure — on-premise servers, a private cloud tenant, or a dedicated VPC the shop controls end-to-end. Options include self- hosted open-weight models (Llama, Mistral, and finance-tuned variants) served through vLLM or Ollama, or serverless GPU on Replicate, RunPod, or AWS with proper isolation. Retrieval-augmented generation against the operator's own deal history, counterparty records, and portfolio data, so responses stay grounded in your actual pipeline and your actual voice, not the vendor's training set. Every request logged, every model version pinned, every data flow audited. Deal data never leaves the operation. There is no shared tenant. There is no third-party vendor training on your counterparty relationships or your deal terms. The AI that runs your shop belongs to your shop, sits inside your walls, and answers only to you. This matters when the material being processed includes counterparty terms, capital partner relationships, off-market deal flow, and everything else that makes your shop worth more than the sum of its listings.

These are patterns. What Oz builds for your shop depends entirely on your shop. That is the point.

RECENT BUILD

Autonomous

email agent handling deal communication end to end

An autonomous email agent deployed on the operator's own infrastructure, handling communication with buyers, sellers, brokers, and capital partners across active deals. Trained on the operator's tonality, writing style, and negotiation patterns so every response reads as theirs. Deal context, counterparty history, and in-flight conversations tracked automatically, so no message falls through and no relationship goes cold. Not a shared platform. Not a generic assistant. A dedicated agent operating inside the shop's own environment, at the shop's own tempo, in the shop's own voice.

This is one engagement. What Oz builds for a real estate operator depends entirely on what the operator needs. The scoping call is where we figure that out.

See what Oz would build for your shop.

The first call is diagnostic, not a pitch. We walk through how your shop actually operates, where deals go cold, and what a system designed around your pipeline and your voice could look like. If Oz is not the right fit, we tell you. If it is, you leave the call knowing exactly what a build would include and what it would cost.

Book a scoping call
Back to other use cases