Research 247 - UAE Gains Gartner Recognition - Industry recognition and conference presentations at top universities

Dubai, UAE - September 24, 2025
In a groundbreaking development for the real estate technology (PropTech) sector, Research 247 UAE, an award-winning property intelligence startup based in Dubai, has emerged as a trailblazer in leveraging artificial intelligence (AI) for real-time property analytics. The company's innovative machine-learning models have processed vast amounts of property data across all seven emirates, transforming how stakeholders interact with and interpret market trends. Recently featured by Gartner, one of the world's leading research and advisory firms, Research 247 UAE has solidified its reputation as a leader in the PropTech space.

Pioneering Innovation in Real Estate Analytics

The platform developed by Research 247 UAE processes real-time feeds from multiple sources, including transaction records, listing platforms, economic indicators, and external factors influencing buyer behavior. This comprehensive approach provides hourly updates on critical market indicators such as price trends, inventory levels, and market sentiment, catering to both established luxury markets like Dubai and emerging regions like Ras Al Khaimah and Fujairah.

Balaga Raghuram, the machine-learning research consultant who led the global team during the platform's development, explained the technical foundation:
"Our system integrates real-time data streams to create a holistic view of the market. By combining traditional property records with alternative data sources, we've been able to deliver actionable insights that empower investors, agencies, and policymakers."

This cutting-edge methodology has not only earned the company recognition within the technology sector but also positioned it among the fastest-growing PropTech startups in the region.

Industry Recognition and Academic Contributions
Research 247 UAE's analytical models have garnered attention beyond the Middle East, making waves at prestigious academic conferences. Balaga Raghuram presented the company's AI-driven approaches at the Oxford University Conference, where he highlighted the transformative role of artificial intelligence in real estate valuation and investment decision-making.

"Participating in academic conferences was instrumental in refining our methodologies," Balaga Raghuram noted. "Sharing our findings with global experts helped us validate and enhance the accuracy of our predictions."

The company's efforts have paid off significantly, with measurable impacts reported by clients. Real estate agencies integrating AI-driven insights into their operations have seen increased user engagement, while investors have benefited from improved outcomes in portfolio management.

Market Impact and Future Prospects
Research 247 - UAE, the Emirati start-up that pioneered real-time, AI-powered property intelligence covering all seven Emirates, announced its decision to voluntarily dissolve operations this year. The move comes as part of a strategic shift to channel the company's expertise and resources into developing advanced artificial intelligence models dedicated to transforming the UAE's real estate sector. As the UAE continues to position itself as a hub for technological innovation, Research 247 - UAE stands out as a shining example. The company's inclusion in regional rankings of fast-growing PropTech companies further highlights its contribution to the nation's digital transformation agenda.

Media Contact : Ameena M
info@research247.org.in
Al Garhoud, GGICO, Dubai, United Arab Emirates
+971-800-65062555

Research247 UAE is a Dubai-based, award-winning proptech startup founded in 2021 by Al Rashid Haneef. The company provides real-time market intelligence, in-depth analytics, and AI-powered solutions for the real estate market across all seven UAE emirates. It offers hourly updates on market trends, predictive analytics to forecast price movements, and micro-market insights to help real estate developers, brokers, and investors make informed, data-driven decisions.

This release was published on openPR.