01
Data boundaries
Keep selected video and derived events within an environment defined by your governance team.
On-premise processing
Keep the architecture under your control.
Design a controlled processing environment around the data boundaries, integrations, governance, and operating model your organization requires.
AI layer activeOn-premise processing
Control is a system design problem.
Local infrastructure can be a strong fit, but it still needs sizing, security, observability, and lifecycle ownership.
02
Existing systems
Plan the interfaces to VMS, storage, identity, event, and operational systems already in use.
03
Dedicated compute
Size GPU, storage, network, and redundancy around the streams and models being evaluated.
04
Lifecycle ownership
Define patching, model updates, monitoring, credentials, backups, and support before production.
Governance without shortcuts
Private processing is not the same as automatic compliance.
An on-premise design can reduce unnecessary transfer of raw video, but it still needs access controls, retention policies, network segmentation, encryption, patching, and a documented purpose for the data.
The deployment should be reviewed with the teams responsible for security, infrastructure, and the physical operation.
From architecture to operating system
Assess. Integrate. Validate. Operate.
Make the infrastructure fit the workflow and the team that will maintain it.
Assess
Document streams, data paths, compute, storage, network, and controls.Integrate
Connect representative sources and the operational systems around them.Validate
Measure quality, capacity, latency, and review workflow behavior.Operate
Set the maintenance, observability, access, and support model.
Plan controlled processing
Bring the governance requirement and the camera estate.
We will help frame a testable on-premise architecture without assuming every environment is the same.