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Albatross

Albatross builds real-time AI infrastructure using sequential embedding models trained on live user events to power personalised product and content recommendations at scale.

Albatross is building foundational AI infrastructure for real-time discovery. The company's core work focuses on sequential embedding models trained on live user events, designed to transform how products and content are recommended. This approach moves beyond static recommendation systems by capturing and reacting to user intent and context within a single session, with models that continuously learn from every interaction.

The company's enterprise-grade platform is engineered to be plug-and-play with minimal operational overhead. It operates at significant scale, processing over one billion events per month and serving more than ten million predictions. The system targets applications in e-commerce and content discovery, where real-time personalisation can drive measurable outcomes.

Albatross's technology has demonstrated impact in production environments. For Wallapop, a marketplace platform, deployment of the system yielded a 175% lift in user engagement within seven weeks. The platform is built to handle high-throughput, low-latency workloads common in consumer-facing applications where timely, context-aware recommendations are critical.

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