Engineering for hospitality
Tools.Context.Control.
The foundations our AI runs on, so it answers from your data and asks before it acts.
Regulars referred by a VIP who haven’t been back?
A win-back list, grouped by the VIP who referred them.
Regulars referred by a VIP who haven’t been back?
A win-back list, grouped by the VIP who referred them.
Powering 2,500+ UK venues
AI needs foundations.
On siloed data with nothing to do, a chatbot just guesses.
Three parts.
What turns a model into an agent you can trust.
Reads the graph
Every guest, joined up. It answers from what happened, not a guess.
Does the work
Queries the graph, reads your data, browses the web, builds the report.
Asks first
Runs that resume, work in the background, and writes wait for your sign-off.
All joined up.
Not rows in a table. Your guests, joined by everything they do.
Regulars referred by a VIP who haven’t been back.
Every guest
Bookings, spend, Wi-Fi, reviews and loyalty on one record.
Who knows who
Who dined with whom, and who referred whom.
Computed signals
Churn risk, lifetime value and influence, worked out.
One hop
One question, one traversal. Not a week of SQL.