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Market·12 August 2026

Dubai Startup dataHabibi Launches AI Platform for Property Intelligence

Dubai-based startup dataHabibi has introduced an AI-powered platform designed to provide comprehensive property intelligence, integrating market data for smarter real estate decisions.

Dubai's property market now has a new tool for data-driven decision-making with the launch of dataHabibi, an AI-powered property intelligence platform. Founded by Ibrahim Qorraj and Haron Merzaie, the platform aims to streamline property research by consolidating critical market information.

AI-Driven Insights

Unlike traditional platforms, dataHabibi does not feature property listings. Instead, it leverages artificial intelligence to process extensive property data, identify patterns, and present insights in an easily digestible format for buyers, investors, and property professionals. This approach focuses on providing market evidence to inform decisions, rather than relying on advertisements.

The platform aggregates a wide range of data points, including:

  • Building prices
  • Rental yields
  • Transaction histories
  • Market forecasts
  • Off-plan project data
  • Area trends
  • Dubai property price index

These models are refreshed daily to reflect market changes, offering a dynamic view of the property landscape. The AI is embedded within the research process, assisting in organising records, comparing properties, pricing homes, scoring yields, and tracking market momentum.

Enhancing Professional and Investor Decisions

dataHabibi's current tools support building and project research, developer intelligence, and transaction analysis. The company plans to expand its offerings to include automated valuation ranges, broker-ready PDF reports, personalised investment briefs, and alerts for shifts in prices, yields, or deal activity.

"AI should earn its place by making a hard decision easier," said Ibrahim Qorraj. "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."

This initiative aligns with the UAE's National Strategy for Artificial Intelligence 2031, which seeks to integrate AI to foster economic growth across key sectors. While currently focused on the Dubai market, the founders envision expanding to other cities with complex and fragmented property data. Core tools are available for free, with 'Pro' access providing deeper insights into transaction history, rental data, and investment analysis, maintaining a commitment to an ad-free and listing-free research experience.

Frequently asked

Questions, answered

What is dataHabibi's core function?
DataHabibi is an AI-powered platform that gathers and analyses property data, including prices, rental yields, transaction histories, forecasts, and market trends, to assist buyers, investors, and professionals in making informed real estate decisions.
Who founded dataHabibi?
DataHabibi was founded by Ibrahim Qorraj and Haron Merzaie, aiming to provide evidence-based property research in the Dubai market.
How does dataHabibi's platform differ from typical real estate websites?
Unlike traditional platforms, dataHabibi does not host property listings or advertisements. Its focus is solely on providing AI-driven data analysis and market evidence to support research, ensuring an impartial view.
What kind of data does the platform provide?
The platform provides building and project research, developer intelligence, transaction analysis, rental yields, off-plan pipeline data, market forecasts, and a Dubai property price index, with daily updates to reflect market changes.
What is dataHabibi's business model?
DataHabibi offers its core research tools without charge. For deeper insights, such as extensive transaction history, detailed rental data, and investment analysis, users can access 'Pro' features through a paid subscription.
Reported by
Google News — UAE Rent & Mortgage (7d) · Google News — Off-plan & Handover (7d)
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This brief was summarised and rewritten by Gaia Living from public reporting. Figures and details reflect the original sources.

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