Not marketing copy — the numbers below are what these teams actually reported after deployment: a US logistics operator that cut false alerts 80%, a UAE port terminal that rolled out in six days, and a Netherlands industrial plant that saw ROI in the first week.
Three different problems, one common thread: security teams that were reacting to a flood of noise on a shift-report cycle, now working off verified alerts they can act on in seconds — without a single frame of footage leaving their site.
"Our operators were drowning in motion alerts. Vengeea now flags only real events across our distribution floor — response time dropped from minutes to seconds, and the team finally trusts the system."
Meridian Logistics operated a large distribution facility outside Dallas, generating over 2,000 motion alerts daily across its camera fleet. Operators had learned to ignore most notifications, creating serious security blind spots.
After two weeks with Vengeea's AI, false alerts dropped to just 5% of the original volume. The security team regained focus and could respond to real threats within seconds instead of minutes, transforming their entire security posture.
"An after-hours alert reached our shift lead in seconds — face match flagged an unlisted contractor before he reached the control room. That single catch would have been a half-day investigation and a full-site lockdown. It paid for itself the first week."
Nordholm Industries operates a processing plant near Rotterdam with strict after-hours access rules. Traditional motion detection was firing on shadows, gulls, and swinging lights — the shift team learned to ignore it, which meant a real intrusion had no early warning at all.
Vengeea's intrusion detection combined with face match against the on-site contractor watchlist gave the shift lead a single, verified alert the moment an unlisted person crossed the perimeter — with the face already matched (or unmatched) before he took a second step. Nordholm caught an unauthorised entry in the first week and rolled the system across all its Rotterdam sites inside a month.
"We ran Vengeea on our own gate footage under NDA, saw intrusion and weapon detection fire live within the first hour, and signed. On-prem meant our video never left the port network — that closed it for us. We're also piloting the LPR module and counting the days until the full release."
Gulf Terminal Services operates a critical port gateway handling $2 billion in annual throughput. Network policies strictly prohibit sending video feeds off-premises — a non-negotiable requirement that disqualified most AI vendors.
Vengeea's on-premises deployment proved intrusion and weapon detection could run locally on standard hardware. Gulf Terminal saw live results on their gate footage in the first week and committed to deploying across 6 sites within 6 days, with zero risk to network security. In parallel, their team is piloting the upcoming LPR module on the same feeds and is on the shortlist for the general-availability release.
We'll run Vengeea against your actual cameras under NDA — the same way Gulf Terminal, Meridian and Nordholm evaluated it — so you're judging real detections, not a demo reel.
