No idea too small. No data too big.

Now it’s fast and easy to use the world’s most powerful enterprise IoT machine learning platform to answer your company’s most important questions.

Prove results in weeks, not years.

See how C3 IoT customers are reaching previously unattainable enterprise efficiency, productivity, and operational improvements at a fraction of the cost and time of alternative IoT application platform solutions.

C3 Predictive Maintenance

Building Equipment

160 Analytics Created to Predict Building Equipment Failures in Four-Day Trial

A global building equipment manufacturer completed a trial of C3 Predictive Maintenance in less than 1 week, demonstrating the ability to rapidly develop big data analytic predictive applications on the C3 IoT Platform.

  • 165 chillers analyzed
  • 3 years of sensor data and fault codes aggregated with 40-50 sensor feeds per chiller
  • More than 160 analytics created for failure prediction algorithms

Results: The C3 Predictive Maintenance application delivered a precision of 73% and a recall of 71% with very limited tuning.

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C3 Predictive Maintenance

Vehicle Fleets

Five-Day Trial to Predict Battery Failures in 10,000-Vehicle Fleet

A global corporation in the transportation and logistics industry completed a trial of C3 Vehicle Fleet Analytics in less than one week, demonstrating the ability to rapidly develop big data predictive analytic applications on the C3 IoT Platform.

  • Fleet of 10,000 vehicles with 26 sensors per vehicle
  • One TB of data: 16 billion rows of raw data and 3 years of sensor data
  • More than 25 analytics created for failure prediction algorithms

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C3 Predictive Maintenance

Rod Pumps

12-Week Trial Accurately Predicts Equipment Failures in 1000+ Oil Wells

One of the largest oil and gas producers in the United States completed a trial of C3 Predictive Maintenance for Rod Pumps in just 12 weeks, demonstrating the ability to rapidly develop and deploy complex IoT machine learning applications on the C3 IoT Platform.

  • 1000+ wells analyzed in a 12-week trial
  • 6 years of data aggregated from 3 source systems including 300+ unique data fields
  • Structured and unstructured data (e.g., field maintenance notes) processed
  • More than 700 analytics created for failure prediction algorithm

Results: The C3 Predictive Maintenance application accurately predicted 77% of equipment failures that were to occur within following 60 days.

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