Zurich-based AI company Albatross has raised €10.5 million in new funding to develop a real-time product and content discovery platform that learns, reasons, and adapts as users interact. The round was led by MMC Ventures with participation from Redalpine, Daphni, and strategic angels.
This brings Albatross’s total funding to €13.5 million, following a €3 million foundation round in September 2024 led by Redalpine.
Founded in 2024 by former Amazon AI leaders Dr Kevin Kahn and Dr Matteo Ruffini, together with serial entrepreneur Johan Boissard, Albatross focuses on what the team views as a key missing piece in the AI landscape. While much of the industry is centred on large language models that generate content, Albatross is developing a complementary pillar: understanding how users perceive and interact with content in real time. The platform is built on transformer-based architecture with sequential embedding models trained directly on live events.
Traditional recommendation systems are typically batch-trained and rely on factors such as popularity, similarity, or historical user behaviour, making it difficult to fully capture real-time intent. Albatross replaces these systems with AI that learns continuously from live behaviour, updating in milliseconds as users browse, search, and explore, without manual intervention or retraining. The platform is designed to adapt instantly to changes in user behaviour, enabling more responsive and context-aware recommendations.
The platform is already serving billions of live events and tens of millions of predictions each month across marketplaces, retail, and travel platforms worldwide, processing around one hundred million products and tens of millions of users.
“Our system perceives and adapts instantly, so every search and feed reflects the user’s intent at that very moment,” said Dr Kevin Kahn, Co-founder and CEO of Albatross.
From our conversations with a broad range of CEOs, we know they all want to adopt AI, but most efforts fail because they treat it as an add-on. The real opportunity is to rethink how experiences are shaped - to make every interaction intelligent, adaptive, and alive. That’s what Albatross does: it learns and reasons in real time, understanding intent the moment it happens.
Albatross’s two flagship products, the Real-Time Discovery Feed and Multimodal Search, are designed to give companies of all sizes access to recommendation technology previously available mainly to large global platforms. The Discovery Feed curates products and content dynamically, while the Multimodal Search engine refines results based on changing user intent and can connect in-store and online journeys using contextual and image-based inputs. The platform is built for enterprise environments and is designed to operate with very low latency.
Early pilots have reported triple-digit increases in engagement in engagement and product discovery. Integration typically takes less than seven weeks from contract to deployment, and the system is built to handle billions of data points.
As content and commerce expand rapidly, discovery is becoming a central challenge in the digital economy. Albatross aims to make digital experiences more adaptive by enabling people to find relevant products and content in the moment.
Would you like to write the first comment?
Login to post comments