{"id":65852,"date":"2025-07-03T08:23:19","date_gmt":"2025-07-03T06:23:19","guid":{"rendered":"https:\/\/blog.urbanitae.com\/?p=65852"},"modified":"2025-07-03T08:29:23","modified_gmt":"2025-07-03T06:29:23","slug":"inatlas-geospatial-intelligence-for-real-estate","status":"publish","type":"post","link":"https:\/\/blog.urbanitae.com\/en\/2025\/07\/03\/inatlas-geospatial-intelligence-for-real-estate\/","title":{"rendered":"inAtlas: geospatial intelligence for real estate"},"content":{"rendered":"\n

In a sector as dependent on location as real estate, having accurate data and tools powered by geospatial intelligence<\/a> makes all the difference. That\u2019s why inAtlas<\/a> was founded over a decade ago, with the mission of helping companies identify opportunities, assess risks, and plan with greater precision. We spoke with its CEO, Luis Falc\u00f3n, about how the company has contributed to professionalizing territorial analysis and transforming decision-making in the Spanish real estate sector.<\/strong><\/p>\n\n\n\n

How did inAtlas get started, and how have you contributed to revolutionizing the way companies make strategic decisions?<\/strong><\/p>\n\n\n\n

inAtlas began its activity in 2010 with the goal of democratizing access to business intelligence tools and qualified data, highlighting the importance of the geospatial dimension in business. From the outset, we set out to change how organizations define their strategies\u2014moving from intuition to data, with a geospatial perspective. Instead of relying solely on Excel or static reports, we offer a dynamic, visual, and territorial approach that enables our clients to see the potential of their business in every square meter of the country.<\/p>\n\n\n\n

Our revolution has been making complex information accessible and operational. Today we work with major operators, manufacturers, export entities, franchises, real estate agencies, insurance companies, and utilities, integrating big data into their expansion processes, location assessment, risk analysis, or commercial prospecting. We also work with public administrations seeking to enhance their diagnostic capabilities to plan more effective urban policies.<\/p>\n\n\n\n

How do you differ from other firms offering similar solutions?<\/strong><\/p>\n\n\n\n

inAtlas combines three key differentiators. First, it offers territorial granularity down to the building entrance, including cadastral information. Second, it maintains a B2B market database, updated daily, containing over 3.5 million active businesses in Spain and 600 million globally across 200 countries and territories. It also includes 400 million customs operations and more than 150 variables on consumer profiles worldwide (B2C market). Finally, it features powerful geospatial functionalities that allow for instant cross-analysis, segmentation, and simulations.<\/p>\n\n\n\n

Additionally, we are a 100% SaaS (Software as a Service) company, with our own platform, no external technological dependencies, and a multidisciplinary team with both technical and business expertise. We work with data, yes\u2014but also with the right questions: Where to invest? Where is there more risk? Where are my customers and those of my competitors?<\/p>\n\n\n\n

How is big data transforming real estate?<\/strong><\/p>\n\n\n\n

Big data has enabled the real estate sector to move beyond generic approaches and toward hyperlocal decision-making. It\u2019s no longer just about the location of an asset, but understanding everything behind each site: competition, demographics, income levels, consumption habits, mobility, or tourist pressure.<\/p>\n\n\n\n

Today, a developer or fund can anticipate an asset\u2019s potential performance, assess a project’s feasibility, or calculate a location\u2019s commercial appeal using real and up-to-date information. This transformation is creating a more professional, transparent, and efficient sector.<\/p>\n\n\n\n

It also helps address structural challenges. Cities face the task of balancing economic development with access to housing. This type of analysis enables more visionary planning, combining profitability with social cohesion\u2014something essential if we want our cities to remain competitive and livable.<\/p>\n\n\n\n

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“Big data has enabled the real estate sector to move beyond generic approaches.”<\/p>\n<\/blockquote>\n\n\n\n

In a market with so many information sources, how can we identify those that offer reliable data?<\/strong><\/p>\n\n\n\n

Reliability comes from traceability and consistency. We work with verified official sources\u2014such as the Cadastre, INE, Business Directory, and CNIG (National Geographic Institute)\u2014which we then process and validate using our own models. What matters is not just having data, but understanding what it means, how it\u2019s combined, and what it\u2019s used for.<\/p>\n\n\n\n

Moreover, the ability to cross-reference different sources helps reduce errors and add depth. For example, a postal address may seem clear, but without precise georeferencing, it can lead to wrong decisions. We connect coordinates, income levels, property types, and economic activity to provide a reliable and actionable view.<\/p>\n\n\n\n

You recently launched GeoBiz, a tool that represents a turning point in real estate analysis. What are its functionalities?<\/strong><\/p>\n\n\n\n

GeoBiz Real Estate is our most advanced SaaS solution for professional analysis. It allows users to visualize and compare locations based on socioeconomic, commercial, tourist, and housing indicators. Some of its key features include:<\/p>\n\n\n\n