The Platform
Intelligent infrastructure for fine wine
Four interconnected layers that transform your winery from invisible to indispensable in the AI discovery landscape.
Data Structuring Layer
Every wine in your catalogue becomes richly structured, machine-readable data. Tasting notes, terroir, vintage context, food pairings — normalised and indexed for AI consumption.
- Automated metadata extraction
- Taxonomy normalisation
- Semantic enrichment
Recommendation Engine
Proprietary models trained on fine wine preference patterns, taste profiles, and purchase behaviour. Not generic retail AI — built specifically for the complexity of wine.
- Preference-based filtering
- Occasion and food pairing logic
- Varietal traversal
Discovery Optimisation
Continuous audit and optimisation of how your wines appear across AI discovery surfaces — from ChatGPT to Perplexity to Google's AI Overviews.
- AI citation monitoring
- Structured data publishing
- Search surface coverage
Agent Commerce Layer
Publish your inventory in formats that AI agents, voice assistants, and conversational platforms can natively consume and transact against.
- Agent-native product feeds
- Real-time availability sync
- Conversational checkout hooks
Design Principles
Built on trust, precision, and restraint
We believe AI for wine commerce should be genuinely helpful, not algorithmically aggressive. Our models are designed to be trustworthy advisors — not conversion optimisers.
Accuracy over volume
We'd rather recommend three excellent wines than twenty adequate ones.
Privacy by design
Customer preference data stays with the winery. We never sell insights to third parties.
Winery-first economics
Our business model aligns with winery success, not engagement metrics.