AI Machine Learning

Industrial-Strength Data Science

AI / Machine Learning

AegisOne™ employs rule-based logic and machine learning/AI to accurately evaluate the health condition of machines and predict failures.

Failure Prediction

Anomaly Detection

Core Data Integrity

Dynamic Rules Logic

Monitor the health and performance of the machine based on telemetry data we collect and ensure the integrity of the data by cleansing and normalizing it.

Apply next-generation asset failure prediction algorithms to calculate asset risk and assess the criticality of failure based on database of industrial logic.  Assess probability and impact of equipment failure with a high degree of confidence and consistency, based on actual operating conditions and asset performance details.

Unlock new operational efficiencies by making proactive maintenance decisions based on predictive insights. Our industrial AI and machine learning engines detect asset anomalies and help predict and prevent problems before they happen. Leverage asset-centric and factory-wide visualizations to understand how you can drive financial outcomes that improve your business.

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Dynamic Rule-Based Logic

Rule-based logic, which incorporates domain-level expertise, analyzes data and delivers immediate actionable insights and corrective recommendations.

AI / Machine Learning Engine

Advanced AI/machine learning algorithms combine data with historical information to perform long-term assessments, such as remaining useful life.

Automated Work Orders

Advance-warning alerts and prescribed maintenance orders describing the impending failure are transmitted along with recommended corrective actions.