AI Platform Targets Dubai Real Estate Data Gap; DataHabibi Raises Capital to Monetize Mark

Dubai’s property market generates enormous volumes of data, yet extracting meaning from it has long demanded specialist tools, dedicated research teams, and hours of manual effort. A buyer comparing two similar homes may find them priced thousands of dirhams apart with no clear explanation. An investor hunting for yield must piece together rental data, supply forecasts and deal activity from separate platforms.

DataHabibi, a Dubai-based startup founded by Ibrahim Qorraj and Haron Merzaie, is positioning itself as the capital-efficient answer to that fragmentation. The company has built an AI-powered property intelligence platform that consolidates building prices, rental yields, transaction histories, forecasts, project pipelines and area trends into a single research experience, processing them through artificial intelligence to surface patterns tailored to different users: buyers seeking comparable sales, investors analyzing yield and supply, agents building client briefs, and developers tracking demand across competing launches.

The platform’s design reflects a deliberate strategic choice. Rather than adding a chat interface to existing tools and labeling it artificial intelligence, DataHabibi has embedded AI into the research process itself. The system organizes records, compares buildings, prices homes, scores yields, tracks market momentum and refreshes forecasts daily as conditions shift. The company carries no property listings and accepts no advertisements, positioning the research itself as the product rather than a gateway to sales pitches. That structural decision shapes the business model directly: core tools are available without charge, while Pro access unlocks deeper transaction history, rental data and investment analysis.

Current tools include building and project research, developer intelligence, transaction analysis, rental yield calculations, off-plan pipeline data, market forecasts and a Dubai property price index. The founders are clear that the platform is not designed to replace brokers, valuers or investment advisers, but to give them and their clients a stronger analytical starting point.

“AI should earn its place by making a hard decision easier,” Qorraj said. “Dubai property moves quickly, and no buyer or agent can study every relevant record by hand. We built DataHabibi to do that heavy work, then show the evidence in plain language.”

The immediate product roadmap targets features that convert research into actionable investment intelligence: automated valuation ranges, broker-ready PDF reports, personalized investment briefs and alerts for changes in price, yield and deal activity. An investor could receive a comprehensive brief on a building before a viewing. An agent could generate a branded client report without spending an afternoon gathering charts. A developer could monitor how demand responds to competing project launches.

Merzaie frames the company’s core mission around democratizing access to analysis that has historically required significant resources. “Property decisions often involve a family’s largest asset or an investor’s largest commitment,” he said. “People deserve more than an asking price and a sales pitch. They should be able to see the market evidence, understand the trade-offs and decide with confidence.”

Dubai serves as the initial market, though the founders believe the same system could eventually serve other cities where property data is large, fragmented and difficult to interpret. The launch aligns with broader economic policy in the UAE. The National Strategy for Artificial Intelligence 2031 calls for AI to support economic growth and improve work in key sectors, while Dubai has developed a strong foundation for property technology through digital public services, open market activity and access to a global pool of buyers, agents, developers and technology founders.

By that measure, DataHabibi is entering a market with structural tailwinds. Speed and capital intensity define Dubai real estate, and the competitive advantage increasingly belongs to whoever can compress research time and sharpen deal analysis. Whether the platform’s freemium model generates the revenue needed to sustain that ambition, and whether Pro conversion rates justify the no-advertising commitment, are the financial questions that will ultimately determine the company’s trajectory.