Cameras that observe like humans.
Not object detection — scene understanding, root-cause analysis, recommended action. One backbone, experts per vertical.
Live · Demo CAM-03 · Hat B 
From fraud detection to security, workplace safety to quality control — one visual intelligence.
Live · Demo CAM-03 · Hat B What we see.
An industrial mixer, mid-operation. The operator is approaching; the guarding barrier is open. The final 18 minutes of the shift.
Something is off here.
A classic CV system says "person detected, machine detected" and stops. Primarch reads it as a machine-guarding violation — because it evaluates the open barrier, the approaching operator, and the still-energized machine together.
Workplace Safety Expert> Scene: Operator approaching industrial mixer. Guard is open, mixer energized.> Detection: Machine guarding violation · T-18m to shift-end> Root cause: Evening shift exit without re-engaging guards> Action: Shift-close checklist + interlock system
Why it repeats.
We have observed this same pattern 8 times over the last 14 days — all on Line B, all on the evening shift, all within the last 20 minutes of shift-close. This is not inattention. It is a process gap.
What to do.
Primarch doesn't just flag the violation — it proposes a solution: a shift-close checklist and a machine interlock system. After two iterations Line B's violation rate dropped to zero.
Live · Demo CAM-08 · M#47 / Kasa 3 One cashier, one item.
Register 3, busy Friday evening. Customer in line, cashier scanning and bagging items. A normal flow on the surface.
There's no scan.
A classic CV system says 'cashier detected, item detected' and stops. Primarch reads it as a no-scan pattern — because it evaluates the item being brought to the scanner without a beep, the familiar customer, and the same cashier repeating it together.
Retail Loss Prevention Expert> Scene: Cashier brings item near the scanner but bags it without scanning> Detection: No-scan pattern · Store #47 Register 3 · 23 events / 30 days> Root cause: Same cashier, peak hours, recurring. POS cross-check confirmed> Action: POS-camera integration + shift rotation
Not an event — a pattern.
We have observed this same pattern 23 times over the last 30 days — all at Store #47 Register 3, all during peak hours, all involving specific repeat customers. POS cross-check correlation: ~85%.
Evidence before accusation.
Primarch doesn't just flag a no-scan — it proposes two actions: POS-camera integration (for evidence) and shift rotation (to redirect the risk). No false accusations; real losses prevented.
An expert for every problem.
- Workplace Safety Expert
- Retail Loss Prevention Expert
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and more
Each one looks normal.
A cashier fails to scan an item. One incident. Maybe a mistake. Maybe not.
Together, a pattern emerges.
30 days, 23 cases — all at Store #47, Register 3, all the same cashier, all during peak hours. Correlated with POS cross-check.
Who to protect, who to stop.
Primarch proposes two actions: POS-camera integration and shift rotation. Double-verification to avoid false accusations, process change to stop real losses.
1 platform · ∞ expert modules.
The same visual-intelligence infrastructure. It loads a domain-specific expert module per sector.
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