Every click online tells a story. Yet the systems behind most of the internet still treat users as static profiles, recycling yesterday’s data to predict tomorrow’s intent.
Albatross, a Zurich-based AI company founded by former Amazon AI leaders, has raised $12.5 million in new funding to rewrite that logic with the world’s first platform for real-time product and content discovery, one that learns, reasons, and adapts as users interact.
Daphni, and strategic angels, bringing Albatross's total funding to $16 million , following a $3.5 million foundation round in September 2024 led by Redalpine.
The company's platform is already serving billions of live events and tens of millions of predictions each month across marketplaces, retail, and travel platforms worldwide, processing approximately a hundred million products and tens of millions of end users. Founded in 2024 by Dr Kevin Kahn and Dr 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…
