written and last updated by
Sam Smith at
12 Jun 2025
Journalist, Editorial Department
SOFTSWISS is continuing to drive innovation with a focus on player interests. As part of this initiative, the company has updated its Game Aggregator platform, enhancing it with an advanced mobile UX design and an AI localization tool. This upgrade strengthens the aggregator's position, which already boasts a portfolio of over 30,000 games.
The development of new features is influenced by rising audience expectations and regional diversity. According to H2 Gambling Capital, the mobile segment in iGaming is experiencing an annual growth rate of 14.9%. By 2024, mobile betting is projected to account for 59.5% of all online casino revenues.
The Mobile UX module from SOFTSWISS allows operators to customize the display of slots on smartphones. The updated version enables the option to disable automatic full-screen mode, maintaining visibility of the casino interface. This enhances the platform's usability for players and supports brand recognition.
"As we expand globally, we encounter a variety of needs from casino visitors, regulatory norms, and device types. A mobile-first approach and localization have long been at the core of our Game Aggregator strategy. With these updates, we are helping our partners grow faster and offer a more effective and relevant user experience," said Tatiana Kaminskaya, head of the Game Aggregator division at SOFTSWISS.
Another notable addition is the AI localization tool, which provides instant translation of content into multiple languages. Operators can edit translations and set default localizations for specific regions, thereby accelerating the launch of local campaigns while minimizing manual effort. This tool helps brands stay relevant, comply with legal requirements, and maintain their corporate identity across different countries. The iGaming Trends Report identifies localization as one of the key industry trends for 2025.
In a noteworthy move, SOFTSWISS will also be rewarding ethical hackers for identifying vulnerabilities.
