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See risk sooner.Respond with context.

AnomaEYE analyzes supported camera feeds for suspicious behavior and surfaces short, reviewable alerts—so security teams focus attention where it matters.

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Illustrative concept image of a security dashboard on a monitor. It is not a screenshot of AnomaEYE.
Illustrative mock-up
Illustrative only: a concept image of a security dashboard and, when played, a sample CCTV clip with generic people tracking. Neither is AnomaEYE output.

Designed for review workflows across

  • Grocery
  • Retail
  • Warehousing
  • Distribution
  • Transit
  • Campuses

Recording is useful. Timely context is better.

Camera networks produce more footage than any team can watch. AnomaEYE flags the moments worth reviewing and keeps the evidence with the alert.

  1. Connect

    Supported IP cameras stream to the AnomaEYE media server, assigned to the right organization and location.

  2. Detect

    A scene model scores every second of video and flags moments that look like an incident as candidates.

  3. Verify

    A vision-language model looks at each candidate, confirms or rejects it, and describes what it saw in one sentence.

  4. Review

    The team gets one alert per incident, with the camera, the time, that description and a short evidence clip.

Human review stays in control. An alert marks a sequence for review; it does not decide that a crime happened. Your team makes that call.

Built for focused incident review.

Detection, alerts, evidence and access control in one operator-oriented workflow.

Checked before it reaches you

A scene model flags candidate events every second. A second, vision-language model looks at each one, confirms or rejects it and writes a one-line description, so fewer false alarms reach your team. Incidents are grouped as violence, weapons, fire, vehicles, theft or other incidents.

Alerts on up to four channels

Mobile push and email from the start; SMS and an on-site siren once they are set up for your site. Each person chooses their own channels.

Evidence with every alert

A short clip around the event is saved to private storage and opened through expiring links.

Privacy by design

Detection reads movement and behavior. Facial recognition is not part of the workflow.

Web and mobile, one record

Managers work in the web dashboard, responders in the Android app, on the same incidents.

Adaptable to the places your team protects.

One review workflow, pointed at the incidents that matter in each environment.

Retail stores

When the model scores a sequence as shoplifting, stealing or robbery, the loss-prevention team gets the clip and camera to judge it before anyone acts.

Theft on the shop floor

Categories in scope

  • Shoplifting
  • Stealing
  • Robbery
Explore use cases
Illustrative concept image of a store camera view on a monitor. It is not a screenshot of AnomaEYE.
Illustrative image

Straight answers.

Compatibility, detection scope, accuracy and privacy.

Turn camera activity into focused incident review.

Bring a camera question or a specific scenario. We'll walk through the product and help you plan a realistic pilot.