Intelligence in the core, not bolted on.
A traditional MES records what happened. AIMES reads what is happening and predicts what comes next, while there is still time to act.
Three things the AI does all shift.
Predict
Watches process and equipment signals against their own history and flags drift before it turns into a defect or a breakdown.
Prompt
Recommends the next best action to the operator, planner or technician who can take it, inside the screen they already use.
Explain
Answers plain-language questions from your plant’s own work orders, batch records, SPC and telemetry, and shows the records it used.
Hours of warning, not an end-of-shift report.
Here is one spindle across one shift. The drift is visible to AIMES at 09:40. The first bad part comes at 12:10. A traditional MES surfaces it at 14:00, after the scrap.
Pick an alert. Watch it find the cause.
Copilot pulls telemetry, SPC and maintenance history together, ranks the likely causes and proposes the fix. One click turns the fix into a work order.
AI you can audit.
Grounded in your records
Answers come from your plant’s execution data, not from general knowledge, and every answer lists its sources.
People stay in control
AIMES recommends. An operator, planner or engineer approves, and the approval is recorded.
Logged like everything else
Guards, overrides and recommendations go into the same audit trail as signatures and deviations.
Your data stays yours
Plant data is used to serve your plant, under the same access controls as the rest of AIMES.
Put Copilot on your own data.
Bring a month of history from one line. We’ll show which stops and deviations AIMES would have flagged early.
