Technology in Real Estate Development: New Business

Real estate development is the process, regulated by Law 4.591/1964, that allows selling units of a development before construction. In the new business stage, the first of the cycle, geointelligence, data analysis and 3D modeling increase the accuracy of land viability analysis.

• What is real estate development?
• How does the new business stage work?
• Which technologies support land viability analysis?
• How do market intelligence and Big Data guide land purchase?
• Google Earth and georeferencing in area prospecting
• CAD, BIM and blockchain: from preliminary study to sale

What is real estate development?

Real estate development is the activity of promoting and building developments composed of autonomous units — apartments, commercial offices, condominium houses — with legal authorization to sell them before construction is concluded. The basis is Law 4.591/1964, which defines the figure of the developer and requires the registration of the development memorial at the real estate notary.

In practice, real estate development begins when a company or person acquires land, plans and develops a development — such as a residential or commercial condominium — with the goal of selling it. The process involves legal, financial and constructive aspects, ensuring the project meets regulations and required standards, and it is the strategic way the market creates and makes new properties available to buyers and investors.

The full development cycle goes through seven stages: new business, licensing, development registration, launch, construction, key handover and post-sale. This article focuses on the first one — new business — and shows how technology has been raising the accuracy of technical and economic-financial viability analysis in land acquisition.

How does the new business stage work?

The new business stage opens the development cycle: it is where the developer prospects land, studies the region urban planning legislation, designs the appropriate real estate product and runs the technical and economic-financial viability analysis that decides whether the purchase happens — and at what price. Because it is the beginning of everything, an error here compromises the margin of all subsequent stages.

The real estate market has always been highly competitive: profit margins depend on the speed of land purchase and legalization, project management efficiency and delivery quality. This pressure has increased in recent years. According to the Abrainc-Fipe indicator, new property launches grew 61.7% in Q1 2025 compared to the same period in 2024 — more launches mean more developers competing for the same well-located land.

The new business area is, by nature, data-dependent: on the sales history the company accumulates, on public information about the area and on projections that anticipate market reaction, price fluctuations and demand trends. It is exactly there that technology enters as a competitive differentiator.

Which technologies support land viability analysis?

Six technological fronts support viability analysis in real estate development: market geointelligence, BI (Business Intelligence) with data analysis, geographic mapping, CAD (Computer-Aided Design) with 3D modeling, BIM (Building Information Modeling) and smart contracts. The ecosystem providing these solutions has matured: the Terracotta Ventures Construtechs & Proptechs Map registered 1,232 active startups in Brazil in 2025, nearly half of them in São Paulo.

Investment in these fronts follows a sector that keeps growing: CBIC projects a 2% rise for civil construction in 2026, the third consecutive year of expansion, with the sector closing 2025 with 2.9 million registered workers. Adopting these technologies, however, requires investment in training and constant updating to generate the expected benefits.

How do market intelligence and Big Data guide land purchase?

Market intelligence platforms, such as Geofusion, offer detailed real estate market analysis: practiced prices, demand and supply trends, buyer behavior and competition in the evaluated land area. With this data, the developer identifies business opportunities and defines the right product for each area — number of bedrooms, price range, development standard. Solutions of this type, like Geofusion and Geobrain, usually include dedicated support and continuous database updates for the contracting company.

On the internal front, Power BI has been the most used tool to compile the company historical data: it allows comparing the performance of completed developments and, from that, draw strategies for new acquisitions. Meanwhile, Big Data analysis expands that reach by processing large volumes of external data to identify market trends, predict property price fluctuations and adapt pricing and marketing strategies in near real time.

Large construction companies already maintain dedicated business intelligence departments, staffed by technology, economics and finance professionals. It is these teams that turn analyses and predictions into the company acquisition goals and strategies.

Google Earth and georeferencing in area prospecting

Google Earth is today the main tool for the new business area prospector. With it, the professional creates area mappings with a high level of preliminary information — approximate land area, topographic data, distances to roads and services, geographic coordinates — before any field visit or paid survey.

This preliminary mapping draws on georeferencing techniques, which associate each piece of land data with a precise position in space. The result is a cheaper prospecting funnel: clearly unviable land is discarded on screen, and only promising candidates proceed to formal topographic survey, soil study and negotiation with the owner.

CAD, BIM and blockchain: from preliminary study to sale

CAD and 3D modeling revolutionized the design and planning of real estate projects: they allow visualizing the development with precision even in the study phase and identifying design problems before they become construction costs. With Autodesk BIM and equivalent tools, all projects — architectural, structural, electrical, plumbing — are reconciled in the same interface, and design errors drop significantly during construction.

On the commercial side, blockchain technology is being explored to ensure secure and transparent real estate transactions through smart contracts, with the potential to simplify the buying and selling of properties; those who want to understand the basis of this technology can start with how blockchain works. Meanwhile, advertising and property sales have migrated to digital platforms and social media, which reach a global audience and personalize campaigns for each buyer segment.

Conclusion

Technology has transformed the new business stage from a bet into a data-driven process: those who combine geointelligence, BI and geographic mapping buy better land, faster and with less risk — and that advantage propagates through the entire real estate development cycle. For architects, engineers and analysts working in or wanting to enter this market, mastering these tools has ceased to be a differentiator and become a requirement; here at CodeCrush, the practical recommendation is to start with the basics that already solves a lot: well-used Google Earth, an honest BI dashboard and the discipline to record the history of each viability analysis.