Albatross Rolls Out In-Session AI Discovery for Wallapop to Unlock Latent Marketplace Supply

New updates have been reported about Albatross.

Albatross, a Swiss AI company specializing in real-time discovery, has become a core technology partner for Wallapop, integrating its in-session perception engine across the Spanish recommerce platform’s marketplace. The deployment moves Wallapop away from static, history-based recommendation models toward live, intent-driven discovery that adjusts to each click, with the objective of surfacing relevant listings in real time and preventing quality supply from being buried.

The partnership follows Albatross’ recent $12.25 million capital raise, bringing total funding to $16 million, earmarked to scale its real-time perception layer and expand large-scale commercial deployments. In early A/B tests on 10% of Wallapop’s traffic, Albatross’ system demonstrated sustained performance gains over four months, including better exposure for previously unseen items, signaling an ability to unlock latent supply rather than just boost already popular listings.

At the core of Albatross’ value proposition is an AI model that interprets the sequence and context of user actions within a session, allowing the marketplace to respond when a user shifts from evaluating a single product to planning a broader purchase scenario. For recommerce environments with millions of unique SKUs and inconsistent metadata, this adaptive approach is designed to overcome the limitations of traditional similarity- or popularity-based recommenders and maintain discovery quality as inventory turns quickly.

For Albatross, Wallapop functions as a high-intensity proving ground, with a fast-changing catalog and high listing velocity that test the scalability and robustness of its architecture under real-world marketplace conditions. Company CEO Dr. Kevin Kahn positions this as a structural step-change in search and personalization, arguing that while large language models focus on interpreting content, Albatross’ perception layer focuses on making sense of user behavior at scale.

Strategically, the Wallapop deal gives Albatross a flagship reference deployment in European recommerce and demonstrates commercial readiness for other marketplaces seeking to lift engagement and liquidity via adaptive AI. The company reports that it now orchestrates discovery across more than 100 million products and processes billions of interactions, and it has already received industry recognition, including the Tech for Retail 2025 Innovation Award. For executives evaluating marketplace technology, the Wallapop-Albatross integration highlights a shift toward in-session, behavior-led optimization as a competitive lever for inventory utilization, seller visibility, and overall unit economics.