AI Agent Development for Real Estate & Construction Tech

Most agent projects stall at the demo. Ours ship because we start from the failure modes, what the agent must never do, who approves what, and how every action gets traced, and build the capability around those constraints.

In real estate & construction tech, transactions are document-heavy and slow, and lead quality varies enormously. That single fact reshapes how ai agent development 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 site progress from imagery, usually integrated against property management. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

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.