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IIoT Machine Monitoring · Industrial Automation

Edge telemetry that turned unplanned downtime into a forecast.

Vibration, current, and thermal signatures streamed into AMIGO AI for anomaly scoring.

−46%
Unplanned downtime
6+ hrs
Early-warning lead
+11 pts
OEE

Overview

Critical CNC and press lines failed without warning, costing $1.4M annually in lost output. Sanadi deployed AMIGO IIoT edge gateways streaming vibration, current, and thermal signatures into AMIGO AI for anomaly scoring.

Business challenges

What the customer was facing before Sanadi.

Unplanned downtime

Critical lines failed without warning — $1.4M annual lost output.

No condition data

No vibration, current, or thermal signature capture per machine.

Reactive maintenance only

Service happened after failure, not before it.

Scope of implementation

What Sanadi delivered.

Edge Gateways

Industrial gateways on each critical machine.

Sensor Suite

Vibration, current, and thermal sensors per asset.

AMIGO AI Scoring

Anomaly detection per failure mode.

Alerting

Lead-time alerts to maintenance crews.

Solution delivered

Edge-streamed telemetry

Continuous high-frequency data per machine — not periodic snapshots.

AI anomaly scoring

Per-mode models surface degradation patterns early.

Closed-loop alerting

Alerts routed to maintenance with 6+ hour lead time.

Measured results

Unplanned downtime −46%

Predictive intervention replaced reactive firefighting.

6+ hours early warning

Catches 9 of 10 failure modes well before failure.

OEE +11 points

Equipment effectiveness lifted from improved availability.

Stack & integrations

IIoT edge gatewaysVibration / current / thermal sensorsAMIGO AIMaintenance workflow

Outcome

IIoT plus AI turned unplanned downtime into a forecast — maintenance now operates on lead time, not after-the-fact recovery.

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