See
Vision layer
ANPR cameras read every entry and exit, day and night, in weather. Plates are matched, timed and stored under the retention policy. Anything the system is not sure about is re-read by a person before any action is taken.
Most parking technology is a camera pointed at an old process. We started from what the data can do, then designed the operation around it. The result is a system that is accurate because it sees everything, consistent because rules are code, and fair because exceptions go to a person.
Vision layer
ANPR cameras read every entry and exit, day and night, in weather. Plates are matched, timed and stored under the retention policy. Anything the system is not sure about is re-read by a person before any action is taken.
Rules engine
Every site's rules are written once, as code: who may park, when, for how long, with which permit. The engine applies them identically to every vehicle, every time. No discretion, no bad days, no targets.
Operations layer
Permits issued and revoked digitally. Payments taken cashless. Parking charge notices generated with the evidence attached, then reviewed against the fairness rules before anything is sent. Appeals routed to a person with a 14-day reply commitment.
Site intelligence
The platform learns what normal looks like on each site: peak hours, dwell patterns, repeat behaviour. It flags anomalies to the operations team and feeds recommendations into your monthly report. Over time, sites run better without anyone changing a setting.
The platform decides the routine cases, thousands a day, with no variation.
A trained reviewer handles the exceptions: unreadable plates, unusual patterns, every appeal, every complaint. That's not a limitation of the AI. It's the design.
We run the platform on our own sites first because that's the only honest way to prove it. The next step is opening it to other operators and estates that want to run on the same rules engine, with the same fairness standard. If that's you, we'd like to talk.