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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/APERIO
APERIO

APERIO

Founded 2017

Validate operational sensor data to detect anomalies and process errors

You can use Aperio to monitor and validate raw sensor data across your industrial operational technology networks. It inspects high-frequency time-series data to detect noise, sensor drift, equipment degradation, and malicious data spoofing in real time. By analyzing electrical signals and physical operational patterns, it spots miscalibrated sensors and process irregularities before they lead to factory shutdowns or hardware damage. You can verify that your control systems and data historians receive accurate measurements, helping operators maintain plant safety and prevent costly downtime across complex manufacturing facilities.

What APERIO does

Connect to operational historians and process control networksInspect continuous telemetry streams for anomalous patternsConfigure custom thresholds for industrial sensor accuracyReview flagged sensor deviations and validation incident reportsExport clean telemetry datasets to enterprise data warehousesAssign sensor repair tickets to plant maintenance techniciansTrack long-term reliability scores for factory hardware assetsMonitors time-series sensor signals at the edge and in historian databasesIdentifies sensor drift, calibration failures, and hardware degradation automaticallyDetects intentional data falsification and unauthorized process manipulationsScores raw data quality before it enters operational models and dashboardsSends alerts when industrial telemetry violates physical engineering lawsTracks historical telemetry trends across thousands of factory machinesExports validation metrics into central industrial analytics repositories

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Aperio, industrial data integrity, sensor data monitoring, operational technology security, SCADA monitoring, OT cybersecurity, sensor drift detection, industrial IoT, time series data validation, process anomaly detection, predictive maintenance, manufacturing data quality, false data injection detection, PLC telemetry, critical infrastructure security