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 14 companies ranked by annual revenue.
London, England, United Kingdom
The internet's most transparent & comprehensive property data platform In its most simple terms, Sprift brings together everything you really need to know about any property, to one single location, and helps ensure that all property information is accurate and comprehensive in detail. [email protected]
Boca Raton, Florida, United States
Zoneomics is a real estate intelligence platform utilizing detailed land-use zoning data for investment analysis and business process optimization. Zoneomics is dedicated to capturing planning and land-use zoning data from fragmented sources and making these important decision-making datasets available in one place and in multiple formats including a map-enabled Web Platform, quick Zoning Reports, Zoning Data API and Bulk Data.
Bayside, New York, United States
Developer of a cloud-based application development platform designed to build, test and develop real estate smart applications for desktops and mobiles. The company's platform uses AI & Machine Learning technology along with Software Incubator's data cloud, 3rd party data and various sources of government data, enabling clients to easily consume and monetize data and insights and build smart applications.
Saarbrücken, Germany
Developer of an intelligent platform for insurance and property companies. The company's platform offers data exchange using artificial intelligence. It gives companies operating in the real estate industry a digital image of their business activities. It uses self-learning algorithms to extract all relevant data from documents, processes and external sources and to structure and analyze this data intelligently with a high level of detail.
London, England, United Kingdom
Developer of big data analytics platform designed for property investment and development companies. The company's platform aggregates and standardizes geotemporal/spatial data relating to pricing, demographics, economics, construction, ownership, and valuation, enabling investors to see market trends before investing.
Delaware, United States
Valia provides customers with market intelligence solutions to help them understand the real estate market and make better decisions. With our insights, all key market participants including real estate developers, real estate agents, investors and consumers can benchmark property prices, identify emerging trends and understand the market to discover new opportunities. We bring together top talent to create products that will transform the way that businesses and persons make decisions. We believe in a bottom up approach, wherein every role has the power to create impact and offers an opportunity to grow with the company. We are growing fast and want you to join our team.
London, England, United Kingdom
Built AI is an AI -powered platform that enables real estate investors to make the best data-driven investment decisions. Our cloud-based SAAS platform provides investors with a better way to make property decisions, through a combination of street-level data insights, fast & powerful financial modelling and machine...
San Ramon, California, United States
TopHap is a real estate research platform purposefully built to facilitate real estate property analysis at scale. TopHap has combined every known real estate dataset pertaining to every parcel of residential, commercial, agricultural and government real estate in the United States and has folded other relevant datasets such as census, environmental, hazards, land topography, points of interests, MLS, etc… into a single best-in-class visual data platform. This platform, combined with TopHap’s proprietary value prediction and forecasting Machine Learning engine, enables operators to make confident decisions quickly and at scale. TopHap’s proprietary technology allows for collection and aggregation of all available real estate data in one place. Our Machine Learning engines allow for On-Demand filtering and modeling of any real estate investment thesis across the national landscape. Our revolutionary data visualization capabilities allow for quick and comprehensive property and regional analysis. TopHap’s unique ability to ingest customer data and combine it with TopHap features allows for our customers to BYOD “bring your own data” to solve any kind of specific use-case.
Bellevue, Washington, United States
Provider of an online real estate listing platform created to connect homeowners with builders and property developers. The company's platform utilizes real estate data and artificial intelligence to track and provide potential valuations for individual properties and land assemblages enabling users to check and compare fair value of properties.
Miami, Florida, United States
Deepblocks is a powerful tool to explore the potential of a site. Model any development, on any piece of land. Real Estate financial analysis in minutes.
- 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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