Predict Failures Weeks Before They Happen

Sensor-agnostic predictive maintenance that works with your existing sensors, historians, and SCADA -- no proprietary hardware. Deploy in brownfield plants in under 14 days with no-code setup. PdM + CMMS bundled in a single platform.

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Amazon Web Services logo
Bega Cheese logo
Textor Converting logo
Tassal logo
DLEA logo
Arnotts Group logo
General Mills logo

Sensor-agnostic AI that works with your existing infrastructure

Predict is built for brownfield plants with existing sensors and data infrastructure. No rip-and-replace. No proprietary sensor lock-in. Our sensor-agnostic platform connects to any data source and starts delivering predictions in under 14 days -- no data science team required.

70% reduction in unplanned downtime

Early detection of anomalies allows you to schedule maintenance before failures occur, dramatically reducing emergency repairs and production losses.

Data-driven reliability strategies

Comprehensive analytics provide insights into failure patterns, equipment health trends, and maintenance effectiveness to guide your reliability program.

Predict anomaly detection analytics

Advanced AI for industrial reliability

Predict uses machine learning algorithms specifically trained for industrial equipment to deliver accurate anomaly detection and actionable insights.

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Early Anomaly Detection

Identify subtle changes in equipment behavior weeks before traditional monitoring methods would detect issues.

  • Detection 3-5 weeks before failure
  • Multivariate pattern recognition
  • Severity assessment and prioritization
SCADASensorsHistorian

Sensor-Agnostic Integration

Works with any sensor brand, historian, or SCADA system. No proprietary hardware required. Designed for brownfield plants with existing infrastructure.

  • Sensor-agnostic: any brand, any protocol
  • Brownfield-ready with no-code setup
  • PdM + CMMS in one unified platform
+15%HL

Advanced Analytics

Powerful visualization tools and reports that turn complex data into actionable reliability insights.

  • Root cause analysis
  • Asset health monitoring
  • Remaining useful life estimation

Proven ROI for reliability teams

Predict delivers measurable financial impact by preventing costly failures and optimizing maintenance resources.

25%

Reduction in maintenance costs

70%

Reduction in unplanned downtime

5x

Return on investment

3-6

Months to positive ROI

ROI and asset health charts

How Predict works

1

Connect

Integrate with your existing data sources or deploy new sensors to monitor critical assets.

2

Learn

Our AI establishes baseline patterns for normal equipment operation from historical data.

3

Detect

Advanced algorithms identify subtle deviations and anomalies before they become critical issues.

4

Alert

Receive timely notifications with actionable insights about potential failures and their causes.

5

Improve

The system continuously learns from feedback and outcomes to enhance prediction accuracy over time.

Ready to transform your reliability program?

Contact our team to schedule a personalized demo and discover how Predict can help your organization prevent failures before they happen.

Factory AI Predict FAQ

Common questions about our AI predictive maintenance platform.

What types of equipment can Predict monitor?

How does Predict detect anomalies before failures occur?

What data sources can Predict connect to?

How quickly can we see ROI with Predict?

How long does it take to deploy Predict?

Does Predict include a CMMS?

Is Factory AI Predict really able to cut unplanned downtime, or is that mostly marketing hype?

Is Factory AI scalable to dozens of plants or is it better suited to single facilities?

How does Factory AI handle false positives so our team doesn't get alert fatigue?

What ongoing maintenance or tuning do Factory AI's models need once they're deployed?

Does Factory AI offer a free tier or low-cost entry for small plants to get started?