Commercial Security
One operator, a wall of monitors, an event nobody saw
Detection that runs on hardware at your site: intrusion, loitering, tailgating, loss patterns. Footage stays inside.
Loss prevention still leans on after-the-fact CCTV review: evidence, not prevention.
Loss prevention leadOne operator watching dozens of feeds misses things. Attention does not scale.
Control-room operatorRound-the-clock manned monitoring is expensive and uneven. Alertness fades on a night shift.
Finance directorCameras, alarms and access control that do not share a timeline.
Head of security
What changes first
The alert arrives with the clip
The footage that raised the alert is attached to it, so a responder can see what happened.
The wall stops crying wolf
Repeat alerts on one camera collapse into a single incident your operator can mark as a known pattern.
One timeline, not separate systems
Camera, alarm and access events read in order, so the shift lead can see what actually happened.
Where the work leaks, and what we build
Perimeter
The fence line is watched by whoever looks
Perimeter Security AI watches fence lines and entry points for breaches, loitering and tailgating. It alerts the people who respond, in real time.
The responder decides. The system alerts and attaches the clip.
Access
Tailgating is found only in the footage afterwards
Entry-point analytics that flag tailgating and unusual access patterns, integrated with the access-control system you already run.
Your security lead confirms every flagged entry. No automated accusation.
Loss
You are losing stock and cannot say where
Retail-floor and stockroom analytics that surface theft patterns for your team to act on, processed on-prem, so footage never leaves the building.
A supervisor acts on the pattern. The system never accuses a person.
Alerts
A screen full of alerts, one incident
Agents that deduplicate alerts, attach the relevant clip, and draft the incident log. Your operators decide what happens next.
Your operator decides what happens next and signs the incident log.
Where It Runs
Retail Loss Prevention
Theft-behavior detection and occupancy analytics across store floors, with footage processed on site.
Facility Access
Entry monitoring and visitor flow for offices, warehouses, and commercial buildings.
Perimeter Protection
Fence-line breach, loitering, and abandoned-object detection for yards, construction sites, and industrial property.
Unified Security View
Camera, alarm, and access events correlated into one timeline your team can actually work from.
A week with the system
- Monday
- A fence-line breach overnight. The alert reaches the responder with the clip attached.
- Tuesday
- A delivery sets the same camera off repeatedly. The alerts collapse into one.
- Wednesday
- An access event and a camera event appear on one timeline, in order.
- Thursday
- The shift lead reads that timeline instead of reconstructing it, and closes the incident.
- Friday
- The week's incident log is drafted. Your team corrects and signs it.
Illustrative example. Nothing here is a measured result.
What we would watch with you
| What we watch | How it is measured | Baseline |
|---|---|---|
| Alert precision | Alerts an operator confirmed as real, against alerts raised. | Almost never measured, and the honest starting figure is uncomfortable. |
| Time from event to acknowledgement | Detection timestamp against a named responder accepting it. | Currently invisible, because acceptance is not recorded anywhere. |
| Duplicate-alert rate per camera per shift | Alerts collapsed into one incident, against alerts raised. | The reason operators stop reading alerts at all. |
| Events correlated onto one timeline | Incidents assembled by the system, against incidents reconstructed by hand. | Camera, alarm and access sit in separate systems. |
| Manned-monitoring hours reallocated | Named people against hours, before and after. | The figure the finance director asks for and nobody has. |
One boundary is fixed and not negotiable: cameras are aimed at premises, process and property, never at individual performance management.
Questions sites ask
Does video footage leave our premises?
No. Perimeter Security AI runs inference on hardware at your site; footage is processed and stored on your network. Nothing streams to a third-party cloud.
How accurate is the detection?
It depends on your site. We commission and measure on your cameras, lighting and angles because results from another site do not transfer.
Do we own the system?
Yes. The deployment (models, configuration, integration) belongs to you, documented and handed over. Support contracts are optional; lock-in is not part of the model.
Physical security
Assess your site honestly.
Camera positions, lighting and network constraints decide what is achievable. We quote what we would actually deploy.
Request a security assessment