A durable advantage
competitors can't simply buy.
Because we own the hardware that generates the data, the detection models improve over time in ways competitors renting generic APIs can't easily replicate — that durable advantage is what we mean by a "moat." Your data stays your own: each customer's footage and records are kept separate and secure, not pooled into a shared repository. Model improvements are derived without exposing one customer's data to another.
Cameras record every entry, exit, and anomaly.
24/7 at every site. Iron Eyes cameras and Iron Wings drones process raw ground truth at the local edge. Because inference and recording happen on-site, the system keeps capturing even when connectivity slows or drops — footage is retained locally and synced when the link is healthy again.
Every event auto-generates labeled training data.
The platform tags each event as it happens. A confirmed event — say, a specific truck arriving at a gate — is stored with its detection details, a timestamp, and an index entry. That clean, labeled record is exactly the kind of example used to train and refine future versions of the detection models.
Operator review sharpens the models.
The models improve on their own from the labeled events they collect, and when an operator confirms or corrects a detection, that input adds a verified, real-world example the models learn from. Over time this focuses the system on the edge cases that matter at the perimeter — piggyback events, reefer anomalies, perimeter intrusions, and weather extremes.