Get Actionable Insights with
Real-Time Anomaly Detection

Prevent unplanned downtime and improve asset reliability with early detection

Plant operators need actionable insights from asset performance management that identifies emerging issues sooner – not Big Data that’s heavy on math but light on real-world action.

Enter the Atonix Operational Intelligence platform, AtonixOI. Operational analytics leverage machine learning algorithms to detect emerging abnormal behavior compared to historical operation. When a modeled tag (from a historian or other system) deviates from normal behavior, an alert notifies your team, enabling proactive diagnosis and resolution before it causes unplanned downtime or otherwise impacts operational efficiency.

Optimize asset performance, manage operational costs and protect your bottom line with AtonixOI.

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The AtonixOI Detection Process

Plug into a solution that was built for asset experts, not data scientists.
The AtonixOI platform makes complex math consumable in an automated, no-code system that anyone can use.

Users leverage templates and no-code modeling tools to build ML models quickly

AtonixOI ML engine builds multiple algorithms, scores their performance, and automatically selects the best.

AtonixOI ML engine analyzes historical data, leveraging models to learn “normal” operating conditions

AtonixOI ML engine detects a change in assets, systems, or processes that falls outside of “normal” parameters

Alert is triggered to notify your team of deviation

Avoid Unplanned Downtime

Your team receives early warnings of equipment failure, helping turn emergency shutdowns into safe, scheduled downtime (or no downtime at all) – avoiding lost production and minimizing repair costs.

Improve System Performance

Access a comprehensive view of first-principles performance metrics across your environment to identify inefficient assets and address underperformance before it affects productivity and increases operating costs.