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Live operational view
A central workspace brings camera coverage, activity, locations, and system health together for teams responsible for multiple facilities.

AI / Security & Operations / Case study
Kotelab
An AI video operations platform that connects to existing CCTV, detects configured events, and gives security and operations teams the context to respond.
The brief / 01
Challenge
Organizations already have extensive camera estates, but video still demands constant human attention and is difficult to turn into timely, consistent operational awareness across sites.
Response
Kotelab connects to the cameras an organization already uses. Configured AI agents continuously analyze video for relevant events and surface alerts with the location, camera, and context a human operator needs to verify and respond.
The product / 02
01
A central workspace brings camera coverage, activity, locations, and system health together for teams responsible for multiple facilities.
02
Detected activity becomes structured events that can be reviewed, investigated, and progressed through an operational response workflow.
03
Teams configure the events that matter to their security, safety, and operational processes instead of replacing their camera infrastructure.

Outcome / 03
01
Organizations can add an intelligence layer to established camera systems without making a hardware replacement the starting point.
02
Security, safety, operational events, camera health, and location context come together in a shared operating environment.
03
AI identifies configured events and sends timely context; trained operators remain responsible for verification, escalation, and response.
Capabilities / 04
Let's build / 05