Transport runs on assets that cannot be paused: a berth window, a departure slot, a level crossing, a fleet already on the road. The data that would improve them sits apart — the camera wall in a traffic management centre, onboard telemetry from doors, bogies and traction packs, AIS and terminal operating system records, apron cameras, smart-card taps and in-cab video. A camera feed of a level crossing, a smart-card tap, a plate read: each is a record of where an identifiable person was, so where it is processed is settled before which model processes it.
Neor puts inference where the asset is — the roadside cabinet, the wayside array, the gate lane, the apron — and keeps training, retrieval and the model registry in your own data centre. The platform is assembled from open, auditable components your own engineers run, so they can read the code that decides a stopped vehicle is a stopped vehicle. Models tuned on your incident logs, track geometry and fault histories stay in your registry rather than folding into a shared model you cannot inspect. The map below covers 44 use cases across 9 business functions, and we build one at a time, on your hardware, with your team alongside.
