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 33 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.
Sydney, NSW, Australia
Archistar creates cutting-edge technology that helps people, businesses & governments make faster and smarter real estate decisions. We are an award-winning, fast-growing PropTech start-up with a smart, fun team. We are investor-backed and are bringing to market exciting SaaS products: ✅ eCheck: Pre-assess if a development proposal is compliant with local planning rules - before it’s submitted to council. Learn more: www.archistar.ai/echeck 🏢 Property: Discover new opportunities and unlock the potential of a portfolio within minutes. Learn more: www.archistar.ai 🏡 Homes: Sell more homes using visually striking, user-friendly tools that increase transparency for both home buyers and home sellers. Learn more: www.archistar.ai/for-home-builders 🏘️ Snaploader: Bring your projects to life and maximise your sales opportunities with interactive 3D experiences for real estate. Learn more: www.archistar.ai/snaploader 🏫 Archistar Academy (formerly IDDA): Rapid online learning for the AEC industry. Learn more: https://academy.archistar.ai/ Our team is agile and full of A-players. We hire star performers and are eager for new team members to help us grow and scale up.
Miami, Florida, United States
Developer of a real estate data analytics platform designed to offer a robust and accurate real estate data resource. The company's real estate data analytics platform offers various filters across multiple data sets and permits searching of MLS, county property data, running of comparables and identification of trends for real estate market analysis, enabling users to make smarter investments and develop decision while streamlining fractured processes in the real estate world. It also develops a zoning planning and analysis software.
Barcelona, Catalonia, Spain
Restb. ai is the leading AI -powered computer vision solution for real estate. Our technology automates image recognition, property analysis, and visual data...
Bengaluru, India
Navanc is disrupting property assessment with AI and a focus on reduced TAT. This shift is set to change the industry by turning valuation into a precise and efficient process, providing credit scores for real estate properties and facilitating secured lending and insurance.
- 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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