No cloud or internet required - everything runs locally. Antz Edge is a compact on-premises AI computer that understands camera feeds and provides real-time insights to biologists and curators, with all processing performed on the device.
Conventional camera-trap systems generate vast amounts of unfiltered data that require extensive manual review. Operating in remote, low-power environments, they often miss critical events and provide little understanding of animal behaviour.


Most systems only capture images - they don't analyse how an animal behaves.
Researchers spend thousands of hours combing through camera-trap images and video.
Forests, parks and reserves rarely have reliable networks, so cloud AI isn't practical.
Motion triggers record leaves, shadows and empty frames, burying what matters.
Poaching, injuries or unusual behaviour can go unnoticed for days or weeks.
Conventional systems drain batteries and need constant maintenance.
Most systems only capture images - they don't analyse how an animal behaves.
Researchers spend thousands of hours combing through camera-trap images and video.
Forests, parks and reserves rarely have reliable networks, so cloud AI isn't practical.
At its core is a low-power embedded computer: a Raspberry Pi for lightweight deployments or an NVIDIA Jetson Nanowhere heavier real-time inference is needed. Because everything runs on the device, there’s no dependence on internet connectivity and no need to move footage off-site.
Species identified locally, on the device.
Feeding, hunting, resting, migration, nesting, group movement, aggression, mating.
How the enclosure is used and which animals are near each other.
Reproductive state, non-invasively, to time pairing.
Captures video only when an animal is detected.
Poaching, intrusion, injured animals, rare sightings.
Your data is hosted in the region your institution requires.
Objective, round-the-clock data, no handling.
Connect your cameras to Antz Edge. It understands what happens in every enclosure locally, with no cloud required. Get instant insights while keeping all your data on-site.

Existing RGB and infrared cameras feed footage to the device, day and night.
Antz Edge runs computer-vision models right where the animals are. No footage is uploaded: inference happens on the box itself.
How the enclosure is used and which animals are near each other.
Structured insights, counts and alerts are handed to biologists and curators, with optional periodic sync when a connection is available.

Antz Edge is locally deployed on your premises. Data transfer isn’t required: everything can be computed there itself. That makes it ideal for forests, mountains and remote conservation areas with no reliable network.
Antz Edge provides on-premise AI processing directly at the site of deployment, allowing real-time species identification, spatial tracking, and behavior analysis without needing cloud access or internet connectivity. This makes it an ideal solution across a wide variety of wildlife monitoring scenarios, especially in remote areas where conventional networks fail.
Designed for
Enables continuous, round-the-clock monitoring of species and their behaviors in remote conservation areas without relying on external network infrastructure.
Designed for
Automates species identification and local counting to streamline ecosystem surveys and eliminate thousands of hours of manual footage review.
Designed for
Tracks movement patterns and spatial group dynamics locally over time without missing key events due to storage or network limits.
Designed for
Detects animals approaching boundaries or human settlements early on, generating immediate alerts to help prevent dangerous encounters.
Designed for
Delivers non-invasive monitoring for captive environments, analyzing health, injuries, spatial enclosure usage, and heat-cycle detection to assist timing for animal pairing.

Book a walkthrough. We'll show you a working field study, voice annotation as it happens, and a computer-vision model running locally on-edge: trained on real camera feeds by keepers and biologists, behavior by behavior.
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