Text-defined screens and tags
Human-readable project definitions make the intent visible to automation engineers, software tools, and AI assistants.
AI-editable SCADA · Early access
Help shape a SCADA platform engineers and AI can safely co-develop.
We are exploring a text-defined, version-controlled SCADA engineering environment where AI can assist with repetitive work while engineers retain approval, traceability, and deployment authority.
CONCEPT, NOT A RELEASED PRODUCT
Research · prototype reviews · early access
The engineering model
Readable, reviewable, and proven before plant deployment.
The concept treats SCADA configuration as an engineering system rather than a collection of opaque screens. Screens, tags, alarms, and relationships are expressed in readable definitions that engineers can inspect, version, test, and approve.
AI-assisted, human-approved
AI can propose edits and documentation, but an authorised engineer reviews and approves every production change.
Simulation-based verification
Proposed screen, tag, and alarm changes can be exercised against simulation before they are considered for deployment.
Versioned, auditable, on-premise
Version history and audit evidence support controlled review, while on-premise operation keeps plant context inside the OT boundary.
What joining means
We may invite you to product-research conversations, workflow reviews, prototype evaluations, or early-access availability. Joining is not a purchase commitment.
EARLY-ACCESS WAITLIST
Tell us where SCADA engineering needs to improve.
Required fields are marked with an asterisk. Please do not include confidential plant or client information.
Already evaluating UnitFAT?
The UnitFAT technical review remains a separate engineering conversation.