Data Engineering for Real Estate & Construction Tech

Warehouse spend runs away silently. We instrument cost per pipeline from the start, so an expensive query is visible in a day rather than a quarter.

In real estate & construction tech, transactions are document-heavy and slow, and lead quality varies enormously. That single fact reshapes how data engineering 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 RERA documentation, usually integrated against document management. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.