Dubai’s real estate sector is saturated with information, yet buyers and investors often struggle to distill raw data into actionable insights. While agents can access reports and buyers can browse listings, determining the true value of a property before committing capital remains a complex challenge. To address this, a new Dubai-based startup, dataHabibi, has launched an AI-powered intelligence platform designed to streamline property research.
Founded by Ibrahim Qorraj and Haron Merzaie, the platform aggregates a wide array of market metrics—including building prices, rental yields, transaction histories, and future project forecasts—into a single, cohesive research interface. Unlike traditional real estate portals, dataHabibi does not host property listings. Instead, it focuses on processing market evidence to help users identify patterns and trends that might otherwise be obscured by the sheer volume of available data.
The platform is built to serve a diverse user base, from individual homebuyers and investors to developers and real estate professionals. In a market where similar properties can command vastly different prices, the tool allows users to compare recent transaction records, analyze supply and demand, and evaluate rental performance. By integrating AI directly into the research workflow, the system helps organize records and refresh market signals daily, ensuring that users are not relying on stale reports.
“AI should earn its place by making a hard decision easier,” said co-founder Ibrahim Qorraj. He noted that because Dubai’s property market moves at such a rapid pace, it is impossible for individuals to manually track every relevant record. The platform aims to perform this heavy lifting, translating complex data into plain language so that users can make informed choices without needing to build their own spreadsheets.
The current toolset provided by dataHabibi includes comprehensive project research, developer intelligence, off-plan pipeline tracking, and a dedicated Dubai property price index. Looking ahead, the company plans to expand its capabilities to include automated valuation ranges, professional-grade PDF reports, and personalized investment alerts. These features are intended to help agents generate client briefs quickly and assist investors in assessing potential acquisitions before they even visit a property.
Haron Merzaie emphasized that the company’s primary goal is to democratize access to high-level analysis that was previously reserved for those with dedicated research teams. “Property decisions often involve a family’s largest asset or an investor’s largest commitment,” Merzaie 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.”
The launch of dataHabibi aligns with the UAE’s National Strategy for Artificial Intelligence 2031, which encourages the integration of AI to bolster economic growth and enhance productivity across key sectors. By leveraging Dubai’s existing digital infrastructure and transparent market activity, the startup hopes to provide a more reliable, evidence-based approach to real estate.
The company operates on a freemium model, offering core research tools at no cost while providing deeper transaction histories and investment analytics through a Pro subscription. By avoiding advertisements and listings, the founders aim to keep the focus strictly on objective research. While the platform is currently focused exclusively on the Dubai market, the founders believe the underlying technology is scalable and could eventually be applied to other global cities where property data is fragmented and difficult to interpret.
Ultimately, the success of dataHabibi will be measured by its utility in helping users save time and avoid poor investment decisions. By prioritizing factual evidence over speculative predictions, the platform seeks to provide a necessary edge in a fast-moving real estate environment, offering a transparent, data-backed perspective that empowers all market participants.
The National Strategy for Artificial Intelligence 2031 calls for AI to support economic growth and improve work in key sectors.
The harder task is deciding which facts matter and what they say about a property before money changes hands.
The product has a clear point of view: property research should start with market evidence, not an advert.
A buyer may want to know what comparable units recorded in recent deals.
An investor may care more about rent, yield, supply and future handovers.
An agent may need a sound client brief within minutes.
Many companies add a chat box to an existing product and call it AI.
AI sits inside the research process.
The result is not meant to replace a broker, valuer or investment adviser.
It gives them, and their clients, a stronger starting point.
The company says its models refresh market signals each day, giving users a view that can change with the market rather than a report that becomes stale after publication.
An agent could prepare a branded client report without spending an afternoon collecting charts.
A buyer could test an asking price against recorded deals.
A developer could watch how demand shifts around competing launches.
That simple standard shapes the platform’s business model.
Source: Khaleej Times
