RealPage, the multifamily software giant, announced on July 14, 2026, that it acquired Cherre, a New York City-based real estate data firm, to build an AI-powered intelligence platform grounded in validated, connected industry data. The deal targets a persistent obstacle for artificial intelligence in housing: fragmented, unverified information that prevents models from reasoning across properties.
The acquisition highlights the critical need for reliable data in AI for real estate and construction, where inaccurate or disconnected records can undermine decision-making. The firms did not disclose the financial terms.
The data gap stalling AI
Real estate data often lives in silos, with a single property appearing as three unrelated assets across different systems. A leasing system might list one address, an operations platform a different unit number, and a tax record a separate parcel ID. Most platforms treat each as disconnected, so an AI model cannot answer even basic questions about performance changes at a given asset. "The data may all be there, but until something resolves those identities and governs what the data means, no AI can reason across it," the company said in its release.
Cherre spent roughly a decade cleaning up data on billions of industry entities to create what RealPage calls a reliable foundation for AI. The firm built a knowledge graph that resolves identities and standardizes meaning, allowing AI to connect property-level details to portfolio and fund-level context. The platform spans more than 4 billion entities and $4 trillion in assets, operating in a secure, compliant environment.
A strategic first move under new CEO
The acquisition is the first under RealPage's new CEO and President, Dirk Wakeham. Cherre will retain its brand and its team, including co-founder and CEO L.D. Salmanson, who becomes senior vice president. Wakeham said the deal closes a gap that has stalled AI adoption across the industry.
"Cherre spent a decade building the layer that resolves identities, governs meaning, and connects everything into a knowledge graph AI can actually reason across," Wakeham said. "Put that together with RealPage's operational depth across the property lifecycle and you connect the property to the portfolio to the fund… for the first time, in one governed foundation."
The platform will remain an open hub with clear permissions, security controls, and governance standards. Salmanson said the work was building toward the moment the industry needed to move from reporting to reasoning. "Joining RealPage lets us bring that future to the real asset ecosystem faster, without changing how we work with the clients who trust us today," he said.
Why this matters for real estate and construction professionals
For owners, operators, and asset managers, the deal signals that the industry's data infrastructure is finally catching up to its AI ambitions. Without validated, connected data, even the most advanced AI tools produce unreliable results. RealPage's move - and Cherre's decade of data governance work - could set a new standard for how property firms unify information across their portfolios. The compliance angle is also critical: RealPage has faced ongoing legal challenges over its algorithmic pricing software, so the emphasis on governed, transparent data may help address regulatory scrutiny. Professionals evaluating AI tools should ask whether the underlying data is identity-resolved and governed, or if they're just feeding messy silos into a model.
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