LLMs understand words.
We understand behavior.

Every click tells a story
but platforms are not listening.

Albatross is pioneering perception models: AI trained on live user interactions to capture the moment and understand intent in real-time.

Every view, click, search, and purchase is understood in context: a sequence of what a user has seen, ignored, and explored, and used to adapt their journey in-session.

The scaling race says intelligence comes from more parameters. We bet the opposite: smaller and just as smart.

We build systems serving billions of requests in production — updating the user representation on every click, with non-stationary interests, catalogs churning at 100k+ new items a day, and learning under exposure bias.

Albatross is not a personalization tool. It is the AI infrastructure behind real-time product discovery: its primitives turn live events into user intent and adaptive user experiences.

Whether the input is a user, an item, a list of items, a search query, or a set of candidates to rank, Albatross returns the best items to show next, in the right experience, for each user, in real time.

Until now, discovery systems could not adapt instantly to changes in user behavior. They were built around static profiles, batch updates, and offline retraining.

Albatross processes live events, updates user and item representations with every interaction, and serves low-latency predictions that adapt to user behavior in-session.