Dragonfruit is an enterprise video intelligence platform that turns cameras you already own into something that notices things. Rather than one monolithic system, it works as a set of AI agents — each aimed at a specific blind spot — that you deploy as you need them and add to over time. The models are trained on real operating environments rather than generic datasets, and the platform is in use at over fifteen thousand sites worldwide.
What it is
Dragonfruit AI in one paragraph.
What we deploy.
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Loss Prevention Agents
The retail work: item recognition at the scanner, no-scan and sweethearting detection, refund and cash-office exceptions, dwell time in receiving, shelf sweeps at the front door. The five zones of the 360° Shrink Control framework, watched continuously.
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Perimeter and Intrusion Agents
Detection and classification on outdoor cameras — people, vehicles, direction of travel — raised as events with context rather than motion alerts nobody trusts.
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Operations and Compliance Agents
Process compliance, workforce efficiency and safety adherence. The same footage that answers “who took it” also answers “was it done properly”.
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Mantid Safety Suite
Six models aimed at what actually injures people: spills, PPE compliance, forklift near-misses, restricted area entry, blocked emergency exits and early smoke. Runs on the same cameras and the same base station as everything else — a second reason to own infrastructure you are already buying.
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Mantid Operations Suite
A Dragonfruit venture aimed at yards and docks rather than threats. It measures what a truck actually did on your site — gate in, yard dwell, dock in, dock out, gate out — from the cameras already watching that ground, and streams it into the yard, transport and warehouse systems you already run. Detention fees and bay utilisation stop being arguments and start being numbers.
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Unified Dashboard
Applications, alerts, investigations and analytics across every site in one place. For a group with sites in four provinces, that single view is most of the value.
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Split AI Architecture
The processing sits at the edge rather than pushing everything to the cloud, which is what makes this viable on a South African site with constrained bandwidth — and keeps the running cost down rather than scaling it with your camera count.
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Works With What You Own
It runs on your existing IP and CCTV cameras and alongside your existing VMS. No estate replacement, no manufacturer lock-in, no capital project before the first insight.
How we use it
Where Dragonfruit fits.
Dragonfruit is the analytics layer under our retail loss prevention work and a significant part of what makes offsite monitoring economic — AI watches everything continuously, and a human verifies only what it raises. At Kleinfontein it is integrated directly with the weighbridge and scales, so the same platform that detects an intruder also reports on what left the gate. It is also the technology behind the 360° Shrink Control framework documented in our white paper. The Mantid suite points the same technology at a different problem entirely — yard and dock throughput — which usually means a different conversation, with an operations director rather than a security manager. Worth knowing: the processing sits on a base station at your site and the video does not leave the building, which matters both for bandwidth and for anyone nervous about footage in the cloud. Because all of it runs on your existing estate, the honest first step is a look at what cameras you already have rather than a quote for new ones.
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