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Neuro
AI Instruction & Diagnostics

Training that teaches. An AI that diagnoses.

Most training platforms stop at completion. Neuro's AI engine goes further — closing individual knowledge gaps in real time, and putting a diagnostic tool in every operator's hands that can identify equipment problems and trigger the right response before failure occurs.

AI adaptive instruction — knowledge gap remediation
Neuro AI Instruction & Diagnostics — demo
Adaptive Instruction

When an operator gets a question wrong, most platforms record the miss and move on. Neuro's AI does the opposite — it stops, identifies the specific gap, and walks the operator through the context behind the correct answer. Not a retry. A guided explanation tied to the actual failure mode, equipment type, or detection principle the question was testing.

  • Identifies the knowledge gap behind each missed question
  • Delivers contextual explanation tied to the relevant failure mode or detection principle
  • Adapts pacing and depth based on individual operator performance history
  • Feeds gap data directly into Plant Intelligence for manager visibility
Machine Diagnostics

When something sounds wrong, looks wrong, or feels wrong on the floor, operators now have a tool that can help them think through it. The Neuro diagnostic engine reads training content, machine specifications, and operational data — then works with the operator conversationally to identify the most likely failure mode and determine the right next step.

  • Ingests machine specs, training modules, and live operational context
  • Guides operators through a structured diagnostic conversation
  • Surfaces the most probable failure mode based on reported signals
  • Triggers the appropriate workflow — work order, escalation, or inspection — based on the outcome
AI diagnostic conversation and workflow trigger
Training and operations — connected.

The same AI that teaches an operator about bearing failure in a training module is the AI that helps them diagnose a bearing issue on the floor three weeks later. The training layer and the operational layer aren't separate systems — they share context. That means the diagnostic gets smarter as operator training improves, and gaps identified in diagnostics feed back into the training content pipeline.

  • Shared knowledge base across instruction and diagnostics
  • Diagnostic outcomes surface content gaps for the lesson creation pipeline
  • Every operator interaction improves the system's understanding of your specific equipment and operation
See it in action

Watch the AI work through a real equipment problem.

Schedule a demo and we'll walk through a live diagnostic session on equipment from your operation.