Founded by Ibrahim Qorraj and Haron Merzaie, dataHabibi brings building prices, rental yields, transaction histories, forecasts, projects and area trends into one research experience that processes property data through artificial intelligence to identify patterns and present actionable insights.
The platform carries no property listings, positioning itself as a market intelligence tool rather than a sales channel. It serves buyers seeking comparable transaction data, investors analyzing yields and future supply, agents preparing client briefs, and developers tracking demand across communities and projects.
AI-Driven Market Analysis
dataHabibi’s artificial intelligence system organizes records, compares buildings, prices homes, scores yields, tracks momentum and refreshes forecasts as market conditions change. The platform’s current tools include building and project research, developer intelligence, transaction analysis, rental yields, off-plan pipeline data, market forecasts and a Dubai property price index.
AI should earn its place by making a hard decision easier. 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 company says its models refresh market signals daily, providing users with current data rather than static reports that become outdated after publication.
Expansion Plans and Business Model
dataHabibi plans to extend its AI system into automated valuation ranges, broker-ready PDF reports, personalized investment briefs and alerts for changes in price, yield and deal activity. These additions aim to enable investors to receive building briefs before viewings, agents to prepare branded client reports efficiently, and buyers to test asking prices against recorded deals.
Property decisions often involve a family’s largest asset or an investor’s largest commitment. 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 platform operates on a freemium model, with core tools available without charge while Pro access provides deeper transaction history, rental data and investment analysis. The company maintains a listings-free and advertisement-free experience to keep research as the primary product focus.
Market Context and Future Outlook
The launch aligns with the UAE’s National Strategy for Artificial Intelligence 2031, which aims to support economic growth through AI adoption in key sectors. Dubai’s property market recorded 87,800 transactions worth Dh291.7 billion in the first half of 2026, with off-plan properties accounting for 71 percent of all deals.
While Dubai is the initial market, the founders indicate the system could expand to other cities where property data is large, fragmented and difficult to interpret. For now, the focus remains on providing Dubai users with clearer visibility into buildings, prices, rents, yields and future supply dynamics.
The platform’s emphasis on showing the facts behind predictions rather than asking users to trust automated valuations represents a practical application of AI in real estate intelligence, potentially establishing a new standard for data-driven property research in the emirate’s fast-moving market.
