Every plant has the same two problems. We solve both.
Tier-1 discrete manufacturing plants lose throughput to shift handoff knowledge gaps and slow fault isolation. Intuigence AI addresses each specifically — not generically.
Select your use case.
Each use case has its own pilot configuration and integration scope.
On the scope of the copilot: Intuigence AI does not propose control loops or automated corrective actions on the floor. The copilot makes recommendations — root-cause station, probable fault mode, work order draft — that the process engineer accepts, modifies, or rejects. Engineer-in-the-loop is by design, not a phase-1 limitation.
Shift Handoff Intelligence
Stop the re-diagnosis tax at every shift change. Intuigence AI synthesizes open fault context, root-cause hypotheses, and recommended watchpoints into a structured shift briefing — before the outgoing engineer badges out.
Explore this use case Fault DiagnosisFault Isolation & Root Cause
Narrow a fault from 64+ stations to a single root-cause candidate with confidence intervals and signal-level evidence. Engineers verify and approve — the AI does the correlation work that previously took 45 minutes of manual trace analysis.
Explore this use caseNot sure which fits your situation?
Talk to Moe directly. He spent years as a process engineer before building this.