AI Enablement
The layer that makes the rest of it pay off — models, pipelines, and integrations that turn building data into decisions people act on.
Once a space is instrumented, the question becomes what to do with what it now knows. We build that layer: data pipelines from cameras, sensors, and building systems into a usable store, models selected or tuned for the actual task, and interfaces that put results in front of the right person.
Deployment is deliberate about where inference happens. Privacy-sensitive and latency-sensitive workloads run on-premise on hardware we sized during design; everything else can burst to cloud. Either way the client owns their data and knows exactly where it lives.
We integrate outward into the systems a business already runs — inventory, ERP, ticketing, access, and notification — so insight arrives as an action rather than another dashboard nobody opens.
Applied
Projects using this
Distribution Center, South Bay
A 400,000 square foot facility with plate recognition across the yard, dock dwell analytics, and floor-facing boards showing crews where the bottleneck currently sits.
View projectFlagship Retail, SoHo
A flagship store where shelf-level inventory sensing, queue analytics, and live signage were treated as one connected system rather than three separate installations.
View projectGallery and Private Showroom, East Hampton
Environmental monitoring, discreet high-resolution coverage, and access control for a space that holds significant value in an unstaffed building much of the year.
View projectPlanning a space?
The earlier we join, the more we can do. Bring us in during design and the infrastructure disappears into the architecture.