Matteo Ruffini, both former Amazon AI leaders, alongside serial entrepreneur Johan Boissard, Albatross is tackling what the team sees as a fundamental gap in the AI revolution.

While much of the industry focuses on large language models that generate content, Albatross is building the second pillar of AI: understanding how users perceive and interact with content in real time, built on transformer-based architecture with sequential embedding models trained directly on live events.​ Traditional recommendation systems look backward, using batch-trained models that rely on popularity, similarity, or user history — and they struggle to capture what really matters: what a person is doing right now.

In contrast, Albatross replaces these legacy systems with AI that learns continuously from live behavior, updating in milliseconds as users browse, search, and explore, without any manual intervention or retraining. Notably, until now no platform could adapt instantly to changes in user behavior.

Albatross is the first to do this.​ “Our mission is to close the discovery gap,” said Dr Kevin Kahn, Co-Founder and CEO of Albatross. “Everyone has felt the frustration of seeing the same generic…