RealPage has completed its acquisition of Cherre, a real estate data intelligence company serving institutional property owners, investment managers and operators. The financial terms of the transaction were not disclosed.
The combination is intended to connect property-level operations with portfolio- and fund-level intelligence, giving real estate organizations a governed data foundation for artificial intelligence, analytics and investment decision-making.
RealPage provides AI-enabled software and data analytics to more than 42,000 customers managing over 24 million housing units worldwide. Cherre operates a data intelligence platform that resolves, connects and governs information across real estate systems and external data sources.
By combining their technologies, the companies plan to create an intelligence platform spanning the real estate capital stack, from individual property operations to institutional portfolios and investment funds.
RealPage customers will gain access to Cherre’s data infrastructure, which is designed to bridge operational information with broader portfolio and financial context. This could enable owners and operators to better understand how activity at an individual property affects portfolio performance, investment returns and capital allocation decisions.
Cherre customers will gain access to RealPage’s engineering resources, global delivery capabilities and operational technology platform. RealPage said Cherre will continue working with customers through its existing dedicated teams and consultative approach.
The acquisition addresses one of the primary challenges limiting the use of AI in real estate: fragmented and inconsistent data.
A single property can be represented differently across leasing, operations, accounting, tax and investment management systems. One platform may identify an asset by its street address, while another may use a unit number, ownership entity or parcel identification number.
Without a system that recognizes those records as references to the same property, analytics and AI models may treat them as unrelated assets. This makes it difficult for organizations to reliably answer even basic questions about property performance.
For example, an owner seeking to determine why net operating income changed at a specific asset may need to reconcile information from leasing, revenue management, property operations, expenses and financial reporting systems.
The required data may already exist, but inconsistencies in how the property and its operating information are defined can prevent systems from producing a dependable answer.
Cherre’s technology is designed to resolve these identities, standardize the meaning of data and connect information through a real estate knowledge graph. This creates a consistent framework that AI applications can use to analyze relationships, explain performance changes and identify potential risks or opportunities.
Cherre has spent more than a decade developing this data layer. Its platform resolves more than four billion entities and approximately $4 trillion in global real assets.
The company connects information from property management systems, investment platforms, accounting tools, public records and other data sources. Its infrastructure then governs how those records are defined, related and used across an organization.
RealPage believes this foundation will allow AI systems to move beyond retrospective reporting and support more sophisticated reasoning.
Rather than simply displaying historical information, the combined platform is intended to help users understand why performance changed, which assets require attention and where operational or investment teams should focus next.
At the property level, RealPage said the integration could provide more dependable revenue signals, faster insight into leasing performance and greater consistency across the systems used by onsite and corporate teams.
At the portfolio level, institutional owners and asset managers could use the same governed data foundation to compare properties, evaluate risk, monitor investment performance and make decisions involving capital allocation.
Connecting operational and institutional data may also help organizations assess how leasing activity, pricing, maintenance costs, occupancy and other property-level variables affect portfolio and fund results.
RealPage is developing an AI-native platform for real estate operations and institutional intelligence. The company’s broader strategy brings together agentic AI, analytics and governed data within one technology environment.
Cherre adds specialized data infrastructure that is designed specifically for real estate organizations and the varied systems they use.
The companies said AI applications require more than large quantities of data. The information must also be accurate, consistently defined and traceable to its source.
The combined platform is intended to ensure that recommendations and analytical conclusions can be traced back to governed data and clearly defined business logic.
Customer control will remain an important part of the platform’s design. Cherre will continue operating as an open data hub capable of connecting with different property management systems, applications and data vendors.
The acquisition will not require Cherre customers to adopt RealPage property management software or discontinue connections with other technology providers.
Third-party applications and data sources will continue to connect through customer-defined permissions, governance standards and security controls.
RealPage and Cherre said customers will retain control over how their information is accessed and used. The companies also plan to introduce additional enterprise tools that provide more detailed control over data access, security and governance.
This open architecture is intended to support real estate organizations that use multiple technology systems across properties, asset classes and geographic markets.
Large owners and investment managers often operate portfolios assembled through acquisitions, joint ventures and third-party management relationships. These structures can result in different systems, definitions and reporting processes being used across the same organization.
Cherre’s platform helps unify those environments without requiring customers to replace every existing application.
The acquisition also extends RealPage’s capabilities beyond residential property operations and into institutional intelligence spanning multiple real estate asset classes.
RealPage said the combined platform will connect data, infrastructure and decision-making across the full capital stack.
This could support a range of users, including property operators, asset managers, investment teams, lenders and institutional owners.
RealPage is backed by Thoma Bravo and employs more than 8,500 people worldwide.
Support: Kirkland & Ellis served as legal counsel to RealPage in connection with the acquisition. Software Equity Group served as Cherre’s financial advisor, while Goodwin Procter acted as its legal counsel.
KEY QUOTES:
“AI can transform real estate only if it understands real estate. Cherre has built the kind of trusted, governed intelligence that institutional owners and asset managers depend on. Bringing that expertise into RealPage means every customer, whether they manage one property or a global portfolio, gets access to a stronger, more trustworthy foundation for their decisions.”
Dirk Wakeham, President and Chief Executive Officer of RealPage
“We’ve always believed real estate organizations can’t make confident decisions on data alone. They need a trusted, connected meaning behind it. The work we’ve done at Cherre 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.”
L.D. Salmanson, Co-Founder and Chief Executive Officer of Cherre
