CPO operator

Edge AI Controller Demo login

Meters, load management, smart charging on site — decides locally, monitored centrally.

Explore Edge AI → Got questions? Get in touch

Edge AI connects to the local energy meter (Modbus / SunSpec / EEBUS / Shelly), the attached charging points (OCPP SetChargingProfile), and optionally a heat pump or battery.

The controller balances loads in real time — a vehicle that needs to charge gets priority over a pre-heating heat pump; on high PV production, charging ramps up. Logic runs locally, no cloud dependency. Telemetry flows to the CPMS, alerts to the Fleet Portal.

What to expect

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Offline-first

No cloud latency, no internet dependency. The controller runs standalone and syncs asynchronously.

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Meter integration

Modbus RTU/TCP, SunSpec, EEBUS, Shelly 3EM, Tasmota, SMA Home Manager. Extensible.

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Prioritisation

Vehicle-over-heat-pump, PV-surplus charging, maximum grid draw — a freely configurable rule engine.

How Edge AI Controller fits into the suite

Integrates with

Edge AI Controller https://edge.pipelet.com

Driver Portal Home charging, charging history, CarData integra Fleet Portal Fleet management, driver management, RFID and bi CPMS Core The new operator UI: sites, charger commands, vo

Frequently asked questions

Is Pipelet available as source code?

Yes. Every module is available as a source-access package — complete with Docker Compose, documentation and an SLA support channel. You can audit, customize and self-host.

Which OCPP versions are supported?

Full OCPP 1.6 and 2.0.1 including Security Profiles, Smart Charging, and ISO 15118 Plug & Charge.

Can I use individual modules only?

Yes. Every module is standalone — you can deploy e.g. just the OCPP Broker as infrastructure and build your own CPMS on top.

What does onboarding look like?

We start with a 30-minute call to scope requirements. After that you get a concrete proposal with modules, timeline and price. Pilot typically live in 4–8 weeks.