Every restaurant and bar in London, scored against your DNA — who owns the building, how big it is, how the operator is trading, and whether you could get it. Built for operators who'd rather move first than bid last.
All open public data — assembled, cleaned and joined onto a single premises key. The join is the hard part; no two of these share an identifier.
It reads your existing sites — size, heritage, pitch, catchment, footfall — and turns what they have in common into a measurable DNA.
Every venue is ranked against that DNA, live. Raise the bar and the shortlist emerges — explainable, dimension by dimension.
Signs of pressure — sitting empty, insolvency,
financial stress, ageing ownership.
Market motion —
recently marketed, change of use. Then the owner research, and the approach.
The world model is neutral — only the DNA vector changes.
Three Grade II-listed wine restaurants. The engine reads their DNA — heritage, ~250 m², central characterful streets — and surfaces the ~120 London venues that share it, then narrows to what might be gettable.
View on the map →Thirteen neighbourhood kitchens. A completely different DNA — small high-street units, residential density — plus their delivery reach, showing the white space where the next kitchen goes.
View on the map →Every agent mailout, portal alert and auction catalogue — parsed, matched to the premises key and scored against your DNA the moment it appears. On the market →