Albatross AI
Category: AI Search / Retrieval
Albatross AI is an AI-driven platform that revolutionizes real-time product and content discovery by adapting to live user behavior, replacing static recommendation systems with dynamic, context-aware personalization. Albatross AI was founded in 2024. The company is led by Dr. Kevin Kahn. Based in Baar, Switzerland. Team size: 11-50. Total funding raised: $16 million. Latest round: Seed. Key investors include MMC Ventures, Redalpine, Daphni, Carrefour (via Daphni).
- Founded
- 2024
- Headquarters
- Baar, Switzerland
- Team size
- 11-50
- Total funding
- $16 million
Value proposition
Delivers contextually relevant recommendations by continuously learning from live user interactions, improving engagement and conversion rates with zero manual intervention.
Products and solutions
Real-Time Discovery Feed, Multimodal Search Engine
Unique value
First AI platform using sequential embedding models trained on live events, enabling real-time adaptation to user intent without static profiles.
Target customer
E-commerce platforms, digital content providers, and retail businesses seeking to enhance user engagement through real-time personalization.
Industries served
E-commerce, Digital Retail, Content Platforms, Online Advertising
Technology advantage
Leverages deep learning, reinforcement learning, and session-based pseudonymized data processing for privacy-compliant personalization at scale.
How they differentiate
Albatross AI differentiates through real-time sequential embedding models trained on live events, privacy-compliant personalization using session-based learning, and dynamic adaptation to user intent. Unlike static recommendation systems, it employs reinforcement learning and multi-armed bandits for real-time optimization.
Main competitors
Adobe Target, Dynamic Yield, Monetate, Insider, Optimizely
Key partnerships
Wallapop
Notable customers
Wallapop
Major milestones
Launched real-time recommendation engine with live event training (2024), Secured €3M pre-seed funding within 4 weeks of incorporation, Published cold-start discovery research at RecSys 2025, Achieved 10x revenue growth in Q3 2025, Integrated with 3 major e-commerce platforms by Q4 2025, Signed strategic partnership with Wallapop for real-time AI discovery (Feb 2026)
Growth metrics
$2.2M ARR (2025 est.). Official site production scale: 30+ billion predictions/year, 150+ million products orchestrated, 40+ million users, €100+ million GMV. Wallapop full rollout: +175% user clicks, +279% favorites; home-feed A/B +118.9% engagement / +104.8% favorites / +46.9% purchase intent; purchase-optimized feed +11% items sold; Similar Items +49.9% conv. to sold.
Market positioning
Positioned as a 'foundational AI platform for real-time discovery,' Albatross targets the gap between stale static recommendations and dynamic user intent. Focuses on e-commerce, media, and SaaS sectors requiring adaptive personalization at scale.
Geographic focus
Headquartered in Baar, Switzerland, with primary operations in Europe. Targets global SaaS and e-commerce markets through white-label partnerships and API integrations.
Patents and IP
No publicly disclosed patents, but proprietary algorithms published at RecSys 2025 conference.
About Dr. Kevin Kahn
Former Amazon AI leader who led machine learning and recommendation platforms at Amazon Music, launching flagship AI initiatives. Previously founded Nexys (information systems company with Fortune 500 clients) and led business development at a semiconductor startup acquired by Asahi Kasei. Holds a PhD in Applied Physics from Imperial College London (joint with NUS) and an MBA from University of Chicago Booth.
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Official website: https://usealbatross.ai