From four hours of analysis to 30 seconds of AIFrom four hours of analysis to 30 seconds of AI

The real estate industry didn't have one problem. It had five, all at the same time.

The most obvious was time. Every appraisal required an agent to go through the listing portals one by one, download the available data, paste it into Excel and build the comparative market analysis by hand. Four or five hours of administrative work to produce a number the market might contradict the next day.

The second problem was tool fragmentation: a mid-sized agency paid separately for its CRM, its comparative analysis module, its ChatGPT or Gemini subscriptions and its presence on each portal. Four or five contracts that didn't talk to each other. The third was lead management: an inquiry that came in through Instagram at nine at night went unanswered until Monday, by which time the client had already contacted four other agencies.

The fourth was matching: when an agency had a client looking for something outside its own listings, the fix was to post the request in a WhatsApp group and wait. The fifth was investment decisions, which were made on experience and gut feeling, not data. No single tool solved all five problems. Until InmoRadar decided to build one.

Gonzalo Ruiz came to the project with eighteen years of experience leading sales teams at SMEs and multinationals, including seven years building BlackBerry's presence in Argentina. Ignacio Jury is an industrial engineer from the Universidad Nacional de Córdoba who spent ten years at CONAE, Argentina's space agency, where he was the project manager responsible for putting two Argentine satellites into orbit. The combination of both profiles, commercial and technical, shaped the product's logic: a platform designed around the market's pain points and built with engineering rigor.

A year ago, convinced that artificial intelligence was here to stay in every industry, they self-funded the development of InmoRadar. What started as a market dashboard with appraisals kept expanding as agencies asked for more: every new module answered a real pain point the industry was voicing.

InmoRadar is a real estate intelligence ecosystem built entirely on AI and automation. The design premise wasn't to add features to an existing tool, but to replace a scattered set of tools with a single platform that runs in real time on clean data.

Its strongest differentiator is automated appraisal. The platform combines comparative market analysis with the ROS depreciation table, which factors in the property's age and condition. The result arrives in under thirty seconds: a complete report, branded with the agency's logo. To ensure accuracy, the system analyzes 40,000 to 50,000 data points pulled from the portals and uses AI to clean them, removing duplicates and distorted prices. Accuracy, validated on more than a hundred cases, reaches 98%.

The market module shows opportunity maps with properties that have dropped in price, the price per square meter by neighborhood and each area's historical trends. For investors, it generates an opportunity ranking based on variables they can prioritize (proximity to health centers, universities, safety). Sales automation solves the lead that goes cold: a bot runs 24/7 on the website and Instagram, qualifies prospects and books viewings through Google Calendar.

The CRM brings together lead tracking, simultaneous publishing on Zonaprop, Mercado Libre and Argenprop, contract management and performance dashboards. The most innovative feature is property matching: an algorithm that automatically pairs one agency's client demand with the listings published by every subscribing agency. The platform already operates in the city and province of Córdoba, is expanding to Buenos Aires and is close to an agreement with the Colegio Inmobiliario de Córdoba, the province's association of licensed real estate brokers (more than 8,000 members).

The most measured impact is time. An appraisal that took four to five hours now takes thirty seconds, with 98% accuracy verified across more than a hundred test cases and more than five hundred successful cases in Córdoba's market. Those freed-up hours go into prospecting, winning new listings and building client loyalty.

The contrast with what came before is the second argument. Where agencies paid for four or five separate contracts, InmoRadar offers a single ecosystem. Where collaboration depended on a WhatsApp group, there is now a matching algorithm. Where investment decisions were made on gut feeling, there is now an AI-generated ranking based on objective variables.