Ask your plant.
Wabby is the agentic AI assistant that reads what your systems already publish, cross-references sources and answers with evidence. Inside your SCADA, with your data on-premises.
No process writesOpen-standard readsEvery answer cites its source
Inspect station 4 tooling before the next changeover.
We work on the SCADA platforms that already run your plant: Siemens, AVEVA / Schneider Electric and Rockwell Automation.
The data is already in the plant. What's missing is being able to ask it.
The data is already in the plant.
SCADA, historian, MES, CMMS, tickets, manuals. You already pay for it, generate it and store it.
No one can cross-reference it at 3 a.m.
The answer to “why did the line stop?” is scattered across four screens and a ticket from March.
A chatbot won't fix it.
It doesn't know which one is your station 4, and it never says “I don't know.”
Four things Wabby does on top of your SCADA
From alarm floods to diagnosis.
Groups cascading alarms, points to the root cause and drafts the action citing the procedure. It doesn't suppress: it prioritises and explains.
Alarms · 200 → 3 causesOperator copilot.
Questions about the machine and the current recipe, contextual instructions and the shift summary for handover.
SOP-114 §3.2Performance analysis with the explanation next to the data.
OEE, micro-stops, shift and line comparisons.
SQL · OEE_L3Maintenance with memory.
Cross-references field diagnostics with Jira, Zendesk or your CMMS: “this happened in March and this is how it was fixed.”
OT-4812 · IO-LinkWabby reads. The platform rules.
The assistant consumes the interfaces the platform already publishes. The result comes back inside the SCADA.
No parallel system. No model in the safety chain.
Four things we're stubborn about
Your data stays home.
On-prem or edge; the model can run locally.
Every answer cites its source.
Document, variable, query or ticket. No evidence, no answer.
Inherited permissions.
It sees what the user sees, no more, no less.
Swappable model.
Open-weights or commercial API, by cost, latency and confidentiality.
We started by programming PLCs.
We moved up to SCADA, historians, MES. Today we add agentic AI layers on those same plants. We haven't changed trades: we've added a floor to the same building. That's why we know where AI helps and where it must not go.
About us →A 6-to-8-week read-only pilot, no process writes.
One line, two use cases. We measure and decide. If the numbers don't add up, we stop and nothing's lost.
Request pilot