Megaladata at GITEX GLOBAL 2025

Megaladata at GITEX GLOBAL 2025
From 13-17 October 2025, Megaladata took part in GITEX GLOBAL 2025, the world’s largest tech and startup event, held in Dubai, UAE.

Our Managing Director, Samvel Arustamov, Marketing Manager Mattia Vercelli, and Sales Representative Marat Rakhmankulov met with industry leaders, innovators, and tech professionals. Together, they discussed the latest developments in IT, data analytics, and AI while also strengthening Megaladata’s global network.

The event attracted over 6,800 exhibitors and 2,000 startups from over 180 countries, with more than 100,000 attendees. It served as a hub for exploring new technologies, exchanging ideas, and building international partnerships.
 

Showcasing Megaladata’s solutions

At GITEX, we introduced Megaladata, our low-code analytics platform designed to help businesses process massive datasets, simplify workflows, and make faster, informed decisions. Through live discussions and demos, we showed how teams can analyze hundreds of millions of records in minutes, optimize complex processes, and drive digital transformation across industries.

While we participated independently, we were pleased to see Armenia’s strong presence at GITEX. The Ministry of High-Tech Industry of the Republic of Armenia organized a unified pavilion “ARMENIA”, featuring 11 innovative Armenian tech companies. The pavilion showcased solutions in AI digital transformation, e-learning, solar energy, 3D technologies, and more, with engaging pitch sessions highlighting Armenia’s latest tech advancements.
 

Building connections and expanding our reach

GITEX GLOBAL 2025 gave us the chance to connect with tech leaders, share insights on data analytics and AI, and explore new collaboration opportunities.

We’d like to thank everyone who engaged with our team. These conversations confirm the growing global interest in advanced analytics and set the stage for Megaladata’s continued growth in international markets.

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About Megaladata

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A solution for a wide range of business problems that require processing large volumes of data, implementing complex logic, and applying machine learning methods.
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