For years, residential real estate has run on a lopsided engine. The supply side — every house, condo, or co-op listed for sale — has been meticulously tracked, cataloged, and searchable through multiple listing services and private networks. The demand side — the actual people looking, what they want, how much they will pay, how fast they need to move — has been a mess of scribbled notes, scattered CRM entries, and phone call recollections.
That imbalance is what Premarket’s acquisition of Maklare AI, announced Tuesday, is meant to fix. Premarket runs an agent-only platform that pulls private, off-market listings from multiple brokerages into one searchable pool.
These are properties that never hit Zillow or Realtor.com. Only agents see them. The company just bought Maklare AI, a New York firm that specializes in structuring exactly that chaotic demand-side data.
The deal also brings Maklare co-founder and CEO Oliver Wenner into Premarket as chief operating officer. What is at stake is straightforward.
Real estate agents operate in a market where the best deals often never get publicly listed. A seller wants discretion. A buyer wants first crack.
The agent who can bridge those two silos fastest wins the commission. But the current tools for that matching are primitive — a broker’s memory, a text thread, a sticky note. Premarket wants to replace that with a system that reads buyer intent the way an MLS reads a listing.
Maklare AI’s specialty is extracting structure from unstructured signals. It parses buyer and renter behavior — what they search for, what they ask about, how urgently they need to close — and turns that into data an algorithm can use.
Wired into Premarket’s existing network of private listings, that demand intelligence can theoretically match a buyer’s unspoken needs to an off-market property before either side would normally surface. The key detail: this all happens inside the agent-only ecosystem. No consumer-facing portal.
No open access. The matching is a tool for brokers, not for buyers scrolling on their phones.
The stakes are concrete. Off-market listings — properties sold without ever hitting the public MLS — have grown into a significant slice of high-end residential real estate. Agents who control access to those listings control the transaction.
A platform that can tell an agent, “Here are three buyers who want exactly what this seller has, and two of them can close in 30 days,” changes the leverage in that negotiation. It also changes who gets paid. The agent who identifies the right buyer first gets the commission.
The agent who only lists the property and waits for calls loses. Premarket is betting that demand intelligence will become the next competitive battleground for brokerages.
Supply data is already commoditized — every agent sees roughly the same listings. Demand data is still proprietary, still locked inside individual relationships and fragmented software. Maklare AI’s technology pulls that data into a usable form.
Premarket’s network gives it a place to work. Wenner’s move to COO signals the integration is meant to be deep, not just a licensing deal.
He will run operations for the combined company. That suggests Premarket sees demand intelligence not as a feature add-on but as the core of its next phase. The real question is whether agents will share their demand data the way they already share supply data.
Listing a property on a shared network is standard practice. Handing over the names and preferences of your best buyer prospects is not. Premarket will need to convince brokers that the trade-off is worth it — that what they get back in matching power exceeds what they give up in proprietary information.
That is the risk. If agents hoard their demand-side data, the platform stays lopsided.
If they feed it in, the entire dynamic of off-market real estate shifts.
