Albatross Raises €10.5M To Transform Real-time Product Discovery

The round was led by MMC Ventures, with participation from Redalpine, Daphni, and several strategic angel investors.
This latest raise brings the company’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, alongside serial entrepreneur Johan Boissard, Albatross is tackling what the team sees as a major gap in today’s AI ecosystem.

While much of the field focuses on large language models that generate content, Albatross is building a complementary foundation understanding how users interpret and engage with content in real time. Its platform uses transformer-based architecture and sequential embedding models trained directly on live user events.

Conventional recommendation systems are usually batch-trained and depend on signals like popularity, similarity, or past behaviour, which limits their ability to reflect real-time intent. Albatross replaces these static systems with continuously learning AI that updates within milliseconds as users browse, search, and interact without the need for manual tuning or retraining.

The result is a system that responds instantly to shifts in user behaviour, delivering more adaptive and contextually relevant recommendations.

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The platform is already processing billions of live events and generating tens of millions of predictions monthly across global marketplaces, retail, and travel platforms, handling roughly 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 its Real-Time Discovery Feed and Multimodal Search aim to bring advanced recommendation technology, once reserved for major global platforms, to companies of all sizes. The Discovery Feed dynamically curates products and content, while the Multimodal Search engine adjusts results as user intent evolves and can unify in-store and online experiences through contextual and image-based inputs. The platform is designed for enterprise-scale performance with ultra-low latency.

Early pilots have reported triple-digit gains in engagement and product discovery. Integrations typically take under seven weeks from contract signing to full deployment, and the system is engineered to process billions of data points.

As digital content and commerce continue to grow, discovery is becoming a defining challenge for the online economy. Albatross aims to create more adaptive digital experiences by helping people surface relevant products and content in real time.

About Albatross AI

Albatross AI is a Swiss company developing a foundational platform for real-time discovery and personalization. Its technology adapts instantly to user behaviour and catalog changes, enabling businesses to deliver highly relevant recommendations and search results. The platform powers adaptive digital experiences across industries around the world with scalable AI solutions.