Recommendation & Personalisation for Real Estate & Construction Tech

Diversity has to be designed in. A recommender optimised purely for click-through converges on a narrow loop that bores users within a fortnight.

In real estate & construction tech, transactions are document-heavy and slow, and lead quality varies enormously. That single fact reshapes how recommendation & personalisation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is customer service automation, usually integrated against property management. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Built by engineers who ship production systems, not by a practice that subcontracts the build. You own the code, the models where they are open-weight, and the documentation to run it without us.