Predict Failures Weeks Before They Happen

Our advanced AI platform analyzes your equipment data to detect anomalies and predict failures before they impact production, helping reliability teams drive continuous improvement.

TRUSTED AND SUPPORTED BY

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

Transform reactive maintenance into proactive reliability

Predict gives reliability teams the power to identify and address issues weeks before they cause downtime, enabling a true shift from reactive to proactive maintenance.

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.

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

Flexible Data Integration

Connect to your existing data sources or supplement with new sensors for comprehensive equipment monitoring.

  • Historian and SCADA integration
  • Wireless sensor network options
  • CMMS/EAM system integration

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.

Frequently Asked Questions

We've got everything you need to get started on your predictive maintenance journey.

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?