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A Gloster Infokommunikációs Nyilvánosan Működő Részvénytársaság (its new name, adopted on April 28, 2025, by Resolution No. 13/2025. (04.28.) of the General Meeting, but not yet registered: Gloster Digital Group Public Limited Company - pending registration; company registration number: 13-10-042012; tax number: 27294260-2-13; registered office: 2142 Nagytarcsa, Csonka János utca 1/A A/2. ép. – from 28 April 2025, based on Resolution No. 14/2025. (04.28.), but not yet registered: 1038 Budapest, Fürdő u. 2. – under registration; hereinafter: Company, Gloster) hereby informs investors of the following in accordance with the relevant legislation, in particular Act CXX of 2001 on the Capital Market (Tpt.) and the General Business Rules of the Budapest Stock Exchange.
Gloster and WhiteIT Fintech Zrt. are set to develop an artificial intelligence-based stock exchange fintech software platform.
Representing Gloster: Viktor Szekeres, Chairman of the Board of Directors, and WhiteIT Fintech Zrt. (registered office: 1095 Budapest, Lechner Ödön fasor 1. 7. em. 16. ajtó, company registration number: 01-10-142606) represented by Péter Lóki, member of the Board of Directors, signed a letter of intent today, May 12, 2025, on the joint development of an advanced prediction and decision support system based on artificial intelligence, which, using deep learning and proprietary AI models, is capable of processing historical and real-time stock market data, quantitative modeling, and generating algorithmic trading signals and investment strategies.
The goal of the system is to create a professional, AI-driven decision intelligence platform that can detect predictive patterns, generate signals, and provide real-time integration with brokerage systems by processing structured and unstructured capital market data (e.g., exchange rates, turnover, fundamental news).
The goal is to create a solution that delivers measurable business results, both domestically and internationally, increasing the effectiveness of decision support, reducing portfolio risk exposure, and enabling scalability of institutional and retail investment models.
The relevance of the project is further reinforced by the fact that the use of generative artificial intelligence in the global financial sector is growing by 38.7% annually, with the market value expected to grow from USD 2.7 billion in 2024 to USD 18.9 billion in 2030. [Source: Globenewswire.com]
Gloster has already proven its expertise in artificial intelligence: in a solution delivered to BMW, the company used its own AI-based systems to optimize manufacturing resources and develop predictive testing templates.
WhiteIT Fintech Zrt. focuses primarily on supporting capital market innovations and fintech developments. During the project, the company will draw on its deep trading and market experience to support the development of the system's logical and strategic architecture, the accurate interpretation of user behavior, and the validation and financial modeling of trading algorithms.
The project's professional advisor is Ferenc Virág, one of the best-known and most experienced figures on the Hungarian capital market. During his more than 30-year career, he was involved in the establishment of Equitas and Random Capital (the latter was later acquired by Erste ) as a founder. The innovative approach of the discount broker model represented by Ferenc Virág has made modern capital market instruments available to thousands of investors in Hungary.
This collaboration fits closely with Gloster's "LEVEL UP" strategy for 2026, which prioritizes AI-based solutions, business development based on exportable software products and technological innovations, and further increasing profitability and recurring revenue.
The Parties shall keep Investors informed of the steps taken following the signing of the letter of intent.
Budapest, 12 May 2025.
Gloster Infocommunications Plc.
(Gloster Digital Group Plc. "under registration")
Further information:
Dr. Adrienn Karlovich-Szabó
Investor Relations Officer
karlovich.szabo.adrienn@gloster.hu
