The Platform
Intelligent infrastructure for fine wine
Four interconnected layers that transform your estate from absent to indispensable across the AI discovery landscape.
Semantic Intelligence Layer
Every wine in your portfolio becomes richly structured, machine-legible data. Tasting notes, terroir, vintage context, food affinities — normalised and indexed for AI consumption.
- Automated metadata enrichment
- Taxonomy normalisation
- Semantic structuring
Recommendation Engine
Proprietary models trained on fine wine preference patterns, taste profiles, and purchase behaviour. Not generic retail AI — built specifically for the nuance and provenance of premium wine.
- Preference-based filtering
- Occasion and pairing logic
- Varietal traversal
Discovery Presence
Continuous audit and optimisation of how your estate appears across recommendation surfaces — conversational assistants, semantic search engines, and AI-mediated discovery platforms.
- Recommendation surface monitoring
- Structured data publishing
- Presence coverage analysis
Agent Commerce Layer
Your inventory published in formats that AI agents, voice assistants, and conversational platforms can natively consume and transact against — without friction.
- Agent-native product feeds
- Real-time availability sync
- Conversational checkout
Design Principles
Built on trust, precision, and restraint
We believe intelligence for wine commerce should be genuinely considered, not algorithmically aggressive. Our models are designed to be trustworthy advisors — not conversion optimisers.
Accuracy over volume
We would rather recommend three exceptional wines than twenty adequate ones.
Privacy by design
Customer preference data stays with the estate. We never sell insights to third parties.
Estate-first economics
Our business model aligns with winery success, not engagement metrics or platform lock-in.