Swiss company building a foundational platform for real-time personalization, adapting instantly to user interests and catalog changes. Our real-time content feed keeps users engaged with new, contextually relevant content, driving >300% engagement lifts for large marketplaces and supporting billions of predictions per month at low latency.

As content generation explodes, users struggle to discover new and relevant content. Online platforms are leaving billions in revenue due to uninspiring recommendations that recycle the same popular items over and over. The problem? Traditional solutions fail to adapt to user interests in-session or keep pace with fast-changing catalogs.

Albatross is the missing layer in modern AI infrastructure: a real-time recommendation engine that inspires product discovery by adapting its understanding of both users and catalogs with every interaction. Powered by transformer models, Albatross surfaces fresh, contextually relevant content in real time based on live user behavior; making every session a journey of discovery and enabling the purchase of relevant items that would have otherwise gone unseen.

Founded by former Amazon AI leaders and headquartered in Switzerland, Albatross already delivers hundreds of millions of predictions monthly with enterprise-grade performance.