Cella AI

An AI sommelier that starts with your own cellar

Cella helps you decide what to open, what to hold, and what to pair by using the wines in your SmartCellar account rather than a generic wine list.

Most wine advice is generic. It can recommend a region, a grape, or a famous producer, but it does not know what is already in your cellar. Cella is designed to answer from your own collection, using bottle records, drinking windows, tasting history, and cellar context to make suggestions more useful.

Ask practical cellar questions

Cella is built for the moments when a collector has a real decision to make. You can ask what to open with dinner, which bottles are ready now, what should be held, or how to think about a group of wines entering the same drinking window. Because the assistant starts from the cellar record, the answer can be more specific than general wine advice and easier to act on.

  • Get suggestions based on bottle count, readiness, style, and cellar context.
  • Ask pairing and serving questions without leaving the cellar record.
  • Use tasting history to make advice more personal over time.

Use AI as guidance, not a black box

SmartCellar keeps AI features close to the underlying cellar record, so recommendations can be checked against the bottle details you entered or enriched. It is designed to help with decisions, not replace your judgement. The app keeps the wine record visible so you can compare the suggestion with producer, vintage, region, quantity, price, and tasting history before choosing.

Included from the free tier

Free accounts include Cella chat and wine enrichment limits, with higher allowances available on paid plans for collectors who use the assistant regularly. That means a new user can test the assistant on real bottles before deciding whether larger limits are worthwhile.

Pair from the bottles you actually own

Pairing advice is more useful when it begins with available bottles. Cella can help narrow the cellar around a meal, a guest, a budget, or a style preference. Instead of recommending a wine you do not have, it can work from the bottles already recorded in SmartCellar and explain why one option fits better than another.

Turn cellar data into a conversation

Filters are excellent when you know exactly what you are looking for. Conversation helps when the question is softer: something mature but not too expensive, a white wine for seafood, a red that will not overpower lunch, or a bottle to open before it declines. Cella gives collectors another way into the same cellar data, which can be especially helpful as the collection becomes larger.

Support enrichment and better records

Cella sits alongside SmartCellar enrichment features. When a bottle record is thin, enrichment can help fill in region, grapes, description, drinking window, scores, or imagery. Better records then make better conversations possible. The strongest results come when your own purchase and tasting details are combined with structured wine information.

Keep expectations realistic

AI wine advice should be treated as guidance. Vintage variation, storage condition, personal taste, and occasion all matter. SmartCellar positions Cella as a useful assistant for narrowing choices and surfacing context, while leaving the final decision with the collector. That makes the feature practical for everyday cellar use rather than pretending to be an oracle.

Ask follow-up questions without rebuilding context

Cellar decisions often take a few steps. You might start by asking what is ready, then narrow by food, guest preference, bottle value, or how many remain. Cella is useful because the conversation can stay close to the same cellar context while the question changes. That makes it easier to move from a broad shortlist to a confident choice without opening several different tools.

Useful for learning as well as choosing

Collectors often want to understand a choice, not only receive one. Cella can help explain why a style may suit a dish, why a bottle might need more time, or what differentiates two wines in the same cellar. Used this way, the AI sommelier becomes part of learning the collection: a way to connect regions, vintages, grapes, tasting notes, and drinking windows into a clearer picture that improves each time the cellar record gets richer.