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Our subsidiary, "Enerji Teknolojileri Yazılım A.Ş.," established by our company Margün Enerji on December 10, 2021, and operating with the purpose of developing digital energy solutions, has undergone a name change.

In line with its founding purpose, strategic investments have been made in B2B and B2C digital solutions for the energy sector, artificial intelligence-based plant management systems, and energy storage optimization software.

Additionally, the web-based and mobile application-supported "Energy Management Monitoring System" developed under the ENSOFT brand integrates data analytics, forecasting, and decision support functions, and this product has been commercialized.

At this stage, the company's activities have expanded beyond just energy software to broader technology areas such as energy efficiency consultancy, carbon footprint calculations, digital twin applications, and IoT-based management systems. Accordingly, it was assessed that the current company name no longer adequately represents the scope of activities, and a decision was made to change the company name.

At the Ordinary General Assembly held on July 30, 2025, it was unanimously resolved to change the company name to "Ensoft Teknoloji Geliştirme ve Arge Anonim Şirketi" (Ensoft Technology Development and R&D Joint Stock Company).

In line with the new name and expanding scope of activities, necessary procedures were initiated for the company to apply to the Republic of Turkey Ministry of Industry and Technology for an R&D Center, and the General Assembly meeting recording the name change was registered on July 31, 2025.

The preliminary R&D Center application to the Ministry of Industry and Technology was submitted on August 7, 2025, and approval was obtained.

Within this scope, the project titled "Artificial Intelligence Based Solar Power Plant Management Platform" has been prepared to meet the increasing need for complex data analysis and process management of solar power plants.

The project includes data analysis, SCADA integration, machine learning algorithms, digital twin, and cloud-based platform development.

The innovative aspects of the project aim for high-accuracy production forecasting, predictive maintenance, real-time optimization, and cost reduction.

Expected benefits include increased operational efficiency, reduced maintenance costs, development of domestic software, and widespread use of renewable energy.

The aforementioned project, prepared in line with the specified objectives and scope, has been submitted to the authorized institution as an R&D Project.

Respectfully submitted to the public and our investors.

This statement has been translated into English for informational purposes. In case of a discrepancy between the Turkish and the English versions of this disclosure statement, the Turkish version shall prevail.