Custom Crestron Programming · California

Crestron, programmed for the houses of California.

California residences ask things of a Crestron system that few other regions do. The light moves further across a day than it does in most parts of the world; the line between inside and outside is often more architectural than physical; and the household is frequently shared between coasts, which means the system has to be legible from a screen three thousand miles away as well as the panel in the hallway.

We programme for that. Astronomical timeclocks tuned to the actual fenestration. Shading layered with solar load. Scene language that survives the principal being away for three months. Native Crestron, native Lutron, written by the senior engineer who will return to the residence for the life of the system.

What we bring to a California commission.

Three things, consistently — whether the residence is a coastal property in the south, an inland estate in the central valley, or a city house in the Bay Area.

i.

A senior engineer of record.

One named programmer attached to the residence for the life of the system. The same person writes the lighting scenes, the touchpanel layout, and the climate logic — and returns when the household’s pattern changes.

ii.

Native Crestron and Lutron.

No middleware abstraction. Crestron written natively on SIMPL / SIMPL# / C# or CH5; Lutron HomeWorks written natively on its own toolchain; the two systems tied together at the scene engine, not at a translation layer.

iii.

A programmer who travels.

Handover happens in person, on the residence. Refinement visits over the life of the system happen in person, on the residence. Remote support exists; it does not replace the engineer arriving with the household.

In commission, and in service.

We hold a current programming engagement in California, and have completed residences in the state in service. The residences are held in confidence.

For households deciding between Crestron Home and a fully custom system, we design and manage on both platforms — the framework we use is published.

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