Visual control design
- Build compact-machine control in a clear visual workspace
- Review connections and behavior before rollout
- Reuse proven work instead of rebuilding from scratch
The BootCtrl platform
From visual control design to the Linux controller beside the machine.
Design compact-machine behaviour, review each release, run time-sensitive work locally, and keep the operating evidence connected to the version that produced it.
A shared language
Controller
Reusable control element
Control workflow
Project version
Design
Design machine behaviour your whole team can review
Make states, signals, limits, and connections visible before they reach the controller.
Clear project history
- Save named versions with descriptions and change summaries
- Find earlier work without searching through separate files
- Choose the active version your team should work from
Checks before rollout
- Catch unsupported elements and conflicting connections early
- Flag mismatches before they reach a controller
- Give designers clear feedback while changes are still easy to fix
Operating context
- See controller readiness and online status
- Follow live and stored operating signals
- Connect what is running to the version and deployment behind it
At each site
Keep control running beside the machine
The local runtime owns the control cycle. Remote services handle deployment, telemetry, and support outside that path.
Controller readiness
See whether the controller service is ready
Deployment record
Deploy approved work to assigned controllers
Designed for interruptions
Keep essential machine control close to the equipment
Signals in context
Collect controller health and selected operating signals
BOOTCTRLSEE THE FULL OPERATION IN ONE PLACE
01One place to coordinate
02Live and historical insight
03Traceable progress
04Clear access boundaries
The working process
One release path, four clear steps
Carry the same machine intent from design and review into deployment, operation, and the next improvement.
1. Design the control
- Build the machine behavior visually
- Add the controllers and signals the design needs
- Save the work as a named project version
2. Check and approve
- Run checks before rollout
- Record what changed and why
- Choose the version that is ready for the controller
3. Deploy and run
- Send approved work to assigned supported controllers
- See the result for each target
- Keep essential control running close to the machine
4. Observe and improve
- See controller health and operating signals
- Connect results to the deployed version
- Use the evidence to support and improve the next release
Ready to make automation changes easier to manage?
Tell us what you operate today and where you want to go. We’ll help you identify a practical first step.