As of May 2026, there are 33 SaaS companies in Property Intelligence Software. They have combined revenues of $183.8M and employ 1.2K people. They have raised $28.1M and serve 351.5K customers combined.
Property Intelligence Software encompasses tools designed to collect, analyze, and present data related to real estate and property management. This category of software aids users in making informed decisions by consolidating information such as property values, ownership details, zoning regulations, and market trends. It is particularly useful for real estate professionals who need to assess property conditions and market opportunities quickly and accurately. Common features of Property Intelligence Software include data integration, visualization tools, predictive analytics, and reporting capabilities. These tools often support workflows such as property valuation, risk assessment, and investment analysis. Buyer personas typically include real estate agents, property managers, financial analysts, and executives involved in real estate investment and development.
Sorting: Highest -> Lowest
Showing 10 of 5 companies ranked by annual revenue.
Sydney, NSW, Australia
PropHero is the world's first GenAI Real Estate Wealth Management Platform that simplifies the process of property investment in Australia using AI-enabled technology.
Irvine, California, United States
Real estate tools, GIS mapping platform: We help businesses leverage powerful location technology to make faster, smarter decisions.
Tempe, Arizona, United States
A real estate data and SaaS provider using real-time intelligence to help businesses identify opportunities
New York, New York, United States
Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique “single source of truth,” Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.
London, England, United Kingdom
Developer of an AI-enabled property data standardization platform designed to collect and analyze big sets of property-related data. The company's platform lets users to capture, visualize, consolidate and standardize data by utilizing artificial intelligence, with a focus on rent roll data, enabling asset managers, real estate lenders and investment brokers to aggregate rent roll data across all spreadsheets, put those into a single interface and automate previously manual and error-prone processes.
- The software must provide robust data analytics capabilities specific to real estate and property management. - Must offer integration with various data sources, such as MLS systems and public records. - Should include tools for visualizing property-related data, such as mapping and dashboards. - Must enable users to generate reports and insights for decision making. - Not just focused on property listing; must also offer functionalities for property assessment and valuation.
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