Playtika

In the AI & Machine Learning category, 1 patent centers on a system that segments players dynamically based on their behavior as it happens, rather than relying on fixed profiles or manual groupings. The architecture is built to operate independently of the underlying game code, meaning operators can apply targeted experience changes to specific player groups quickly, without requiring deep technical rework each time. What separates this from conventional approaches like basic A/B testing is the granularity of the segmentation and the speed at which differentiated experiences can be deployed across large player populations.

The 1 Platforms patent takes on a specific operational problem that arises in live game environments: when multiple temporary, player-targeted modifications run simultaneously, they can overlap in ways that cause unexpected conflicts. This filing describes a system that automatically scans for those conflicts before they affect players, removing the need for teams to manually review every possible combination of overlapping patches. The automation targets exactly this gap, handling the complexity that scales up as the number of concurrent time-limited modifications grows.