Why AI Is Splitting PropTech Valuations

Across the sell-side processes Vista Point has run over the past several quarters, three patterns have been impossible to miss.

First, buyer activity in real estate software is being driven by consolidation and a clear appetite for AI capability, even where the broader market has been more measured. Second, AI capability and proprietary data are no longer topics buyers ask about on management calls, they are dedicated diligence workstreams. Third, in our view, today's AI premium is more likely to follow the SaaS arc than to persist indefinitely. It does not disappear, but it eventually becomes table stakes.

Founders who can transact today are operating in a window that may look meaningfully different in two years.

The public record points the same way. The cycle has produced a string of marquee transactions. Rocket closed its $1.75 billion acquisition of Redfin in July 2025, after first announcing the deal in March. CoStar Group completed its $1.6 billion acquisition of Matterport in February 2025. And Blackstone made a $200 million minority investment in multifamily operating system Entrata at a $4.3 billion valuation in May 2025.

That momentum has carried forward. PropTech investment rose roughly 64 percent year over year in the first quarter of 2026, reaching $3.3 billion across 125 deals, according to the Center for Real Estate Technology and Innovation, even as the broader M&A market turned more selective. For founders, a more disciplined buyer market is exactly the environment where the split we describe below sharpens.

What's Driving the Volume

In our view, three dynamics are converging.

The first is interest rate relief. Real estate is one of the largest economic sectors in the world, and when capital costs were elevated, transaction activity (the buying and selling of properties, not the holding) effectively dried up. As rates have eased, transaction flow has returned, and the platforms serving the industry have benefited. This trend might already be coming under pressure given recent macro economic data.

The second is sustained digitization. Property management, financing and transaction workflows, occupancy and revenue optimization, and vertical CRMs are all still rolling out across an industry that adopted technology later than most. The Rocket-Redfin deal is, in part, about Rocket acquiring Redfin's data and traffic to sell more mortgages.

The third is AI, which is really a layer on top of the digitization point. The workflows being modernized are being modernized better and faster because of AI, and buyers are pricing that accordingly. Houlihan Lokey's PropTech market analysis points to the same themes we hear in our buyer conversations: rising adoption of AI and predictive analytics, expanding embedded payments, and continued consolidation across the category.

The Valuation Split Is the Real Story

The headline deal activity obscures what we are observing under the hood: valuations have become bifurcated.

If a platform is genuinely AI-first, has proprietary data, and is embedded in customer workflows, it commands a premium multiple. If it looks more like traditional SaaS without an AI story, deals are still getting done, but the multiples are much softer.

What is notable about PropTech specifically is that those traditional SaaS deals are still getting done. In several other verticals we track, a comparable platform might not transact at all in today's market. The PropTech market is large enough, and buyer interest is broad enough, that strong fundamentals still find a home. That breadth of buyer interest is one of the reasons PE firms are calling real estate tech founders at the frequency they are.

The premium tier is where the math changes meaningfully. From what we’re seeing, the spread between an AI-forward platform and a strong traditional SaaS platform with identical retention has become one of the defining valuation gaps of this cycle.

What Buyers Are Actually Testing

The biggest practical change in the past several quarters is how AI gets diligenced. In our experience, it has moved from a positioning point to a section of deep diligence with its own workstream. That means a few specific things:

• Live demonstration. Buyers want to pull up the product in a working meeting and see the AI functionality execute on real data, not on a sanitized demo account. If a platform claims agentic capability, retrieval, or model-routed workflows, those things need to perform in real time.
• Architecture. Buyers are developing a point of view on what good looks like, including how a platform interfaces with major tools like Claude, ChatGPT, or other frontier models, how it monitors token usage and cost, and how deeply AI is diffused throughout the product versus bolted on at the edges. Frontier models are now part of the conversation about engineering velocity, not just product features.
• Proprietary data. Buyers aren’t accepting "we have data" as a defensible answer. They quantify it. They want to see the scale of the data set, the source, and the right to use it. Third-party data is not proprietary, even if it was paid for. Data generated by customers through your platform is. Property management systems and other systems of record carry a structural advantage here because they sit at the source of customer-generated data.

The Question Founders Without an AI Story Should Ask

As we noted at the top, we expect AI to follow the SaaS arc. SaaS businesses traded at a premium over legacy software for years, until every software business became SaaS and the distinction disappeared.

The implication for founders without a strong AI story is straightforward. The AI gap is likely to widen, not narrow, over the next several quarters. Founders who can transact today as either an AI-forward platform or a strong, retention-driven SaaS business benefit from a market that still rewards both profiles.

That said, getting into AI specifically to sell the company is the wrong motivation. The right lens, and the one that produces more durable value, is identifying a customer problem that AI now lets you solve in ways you could not before.

Founders thinking through how their platform stacks up on the metrics buyers focus on can review our perspective on the 9 metrics for running and selling a real estate tech business.

Know Where You Stand

The most consequential question for a real estate tech founder right now is not whether the market is active. It is. The question is whether your platform reads to buyers as AI-forward, as a best-in-class traditional software business, or as something in between that may need work before going to market.

The founders who are getting premium outcomes are the ones who have an honest, advisor-informed read on which category they fall into before they enter a process. If you are weighing inbound interest, considering a capital raise, or simply want a clear picture of where your platform stands in today's market, reach out to one of our bankers.

This material and the opinions voiced are for general information only and are not intended to provide specific advice or recommendations for any individual or entity. All opinions and views constitute our judgments as of the date of writing and are subject to change at any time without notice. The material may contain "forward-looking" information that is not purely historical in nature. Such information may include, among other things, projections, forecasts, estimates of market returns and proposed or expected portfolio composition. Past performance is no guarantee of future results and there is no assurance this trend will continue.

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