EDGE ON-PREM

Autonomy Edge, running locally.

Everything the cloud platform does, on hardware you own and on your own network. Your projects, your logic and your process data stay inside the plant and inside the company.

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Full: The Edge platform, nothing cut
None: Cloud dependency
Local: The AI model, on your hardware
6: Languages, from Ladder to Python and C++

Local by design

A local Edge, inside your own network

Edge on-prem is installed on machines you own, on your own network. The platform, the virtual PLCs, the projects with their history and the AI model all sit inside your infrastructure, and none of it needs anything outside it.

Your network

Edge on-prem

The virtual PLCs

Projects and history

The AI model

Nothing crosses this line

Your data stays yours
The projects, the logic and what the virtual PLCs report live on your machines. Nothing is uploaded, and there is no copy of any of it in an account somewhere else.
No internet in the loop
No cloud account, no outbound connection, nothing to reach. It behaves the same on a network with no way out.
One machine, or several
Run the platform and the virtual PLCs together on a single machine, or split them across machines when you want more redundancy. That is your architecture decision, and the product follows it either way.

Everything the cloud platform does, on your own machines

Nothing is cut down to make it run locally. What changes is where it runs: the database and the projects sit on hardware you own.

Version control on the logic

Branches, commits and real diffs on the programs themselves, with the history of every project kept beside them.

Project storage, on your hardware

Every project lives in the platform's own database, on a machine of yours, and opens from any browser on the network.

Teams and permission management

Work on the same projects as a team, with the roles and the granular permissions the cloud platform has.

Fleet deployment and monitoring

Deploy to one virtual PLC or to all of them, and see which program is running where, from one place on your network.

AI, locally

The same AI, with the model on your hardware

Edge on-prem brings the assistance the cloud platform has, with the model running inside your own network. It is not a smaller version of it, and it is there when you want it.

CoPilot as you type

Suggestions while you write Structured Text or Python, in the editor you are already working in.

Ask, and it writes the code

The more autonomous mode: describe what you need in the chat and it writes the files and the code for you.

Nothing leaves your network, nothing is metered

The model runs on your own hardware, so your logic stays inside your walls and using the AI costs nothing per request.

Edge on-prem and Autonomy Node

Node runs locally too. They are built for different situations.

Autonomy Node puts the whole environment inside the controller, which is exactly what you want on small hardware out at the machine. Edge on-prem is the full platform on your own servers, so the limits that come with fitting everything into one small box do not apply to it.

The hardware it is built for

Autonomy Node: Smaller, more constrained hardware, with the set of capabilities that fits it.
Edge on-prem: Your own servers, with the whole platform's set of capabilities.

How it is put together

Autonomy Node: One piece of software with everything inside it, running on the device.
Edge on-prem: The platform and the virtual PLCs are separate pieces, so they can share a machine or sit on different ones.

Devices, the machines that run the virtual PLCs

Autonomy Node: A Node is a single Device. You can create several virtual PLCs on it, and all of them run on it.
Edge on-prem: More than one Device, each running its own virtual PLCs, anywhere on your network.

Teams and permissions

Autonomy Node: Logins, with fixed permissions and limited organisation features.
Edge on-prem: Organisations, roles and granular permissions, the same as the cloud platform.

Both are honest answers to different situations, and Node's own page says plainly what it leaves out.

See Autonomy Node

Where Edge on-prem fits

The same OpenPLC toolchain runs in four places. Edge on-prem is the whole platform, on your own infrastructure, with nothing that needs the internet.

	OpenPLC EditorInstalled on your computer	Autonomy NodeServed by the device	Autonomy EdgeHosted in the cloud	Edge on-premHosted on your own hardware
Where the IDE runs	On your computer	On the device	In the cloud	On your own infrastructure
PLCs are independent of the IDE	Yes	No	Yes	Yes
Install on your computer	Yes	No	No	No
Needs internet access	No	No	Yes, only for management	No
Project storage and version history	Partial	Partial	Yes	Yes
Teams and granular permissions	No	Partial	Yes	Yes
Fleet-wide deployment	No	No	Yes	Yes
AI assistance	Yes	Partial	Yes	Yes

Talk to us about Edge on-prem

Tell us what your infrastructure looks like and what has to stay inside it, and we will tell you whether Edge on-prem is the right fit.