Home Solutions Data science & ML Predictive maintenance

Use cases

Reduce downtime


Reduce downtime

Our predictive maintenance platform provides actionable guidance that helps to reduce asset downtime, prevent failure propagation, and sharply mitigate the risk of major losses and liabilities.


Reduce maintenance costs

The predictive maintenance platform tracks the risks associated with individual components and optimizes maintenance schedules to reduce labor and parts costs. Our topology-aware models account for relationships between sensors and components and can assess the risks that individual component failures pose for the entire process.

Reduce maintenance costs
Extend remaining useful life


Extend remaining useful life

Our solutions help to extend the remaining useful life of assets through condition monitoring and risk assessment. Insights into risk drivers enable usage patterns, battery charging schedules, and maintenance operations to be optimized in a way that maximizes an asset’s useful life.


Provide remote diagnostics services

Our platform provides all the components needed to collect IoT data at scale, detect anomalies, analyze risks, and troubleshoot issues. These capabilities enable manufacturers to provide remote diagnostics and other value-added services to their clients in a cost-efficient way. 

Provide remote diagnostics services
Predict failures in real-time


Predict failures in real-time

We use advanced models that analyze both single-metric and cross-metric patterns, taking sensor and component topologies into account. This helps to reduce the percentage of false positives and enables reliable real-time risk scoring.  


Perform root cause analysis

In complex manufacturing and transportation environments, identifying the source of anomalous metrics and high risk scores can be challenging. Our platform uses a unique model design that helps to perform root cause analysis and provides specialized tools and dashboards that operations teams can use to investigate the troubleshoot issues. 

Perform root cause analysis

Our clients

Stanley Black&Decker logo
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Levis logo
Logo of American Eagle


Jabil logo
Stanley Black&Decker logo
Levis logo
Boston Scientific logo
Tesla logo


Paypal logo
SunTrust logo
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Raymond James logo
risers logo
Marchmilennan logo


Google logo
Verizon logo
IAS logo
2k logo
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Neiman Marcus logo
Grandvision logo
macy's brand logo
Lowes logo
Logo of American Eagle


align logo
Rally logo
talix logo
Vertex logo
Merck logo


A truck icon


  • Collect near real-time telematic data from mining trucks and machinery, warehouse forklifts, and on-road vehicles
  • Optimize maintenance schedules and maintenance packages offered to vehicle owners
  • Accelerate responses to requests for roadside assistance with diagnostic and location data from connected vehicles
  • Optimize usage and charging patterns for EV vehicles
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Industrial robotics

  • Collect sensor data from assembly lines, heavy machinery, and robots
  • Receive health reports that measure servo stress over time
  • Identify early signs of mechanical failure and avoid major breakdowns
  • Detect issues in early stages and prevent failure propagation
  • Estimate robot service life and optimize maintenance schedules and costs
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Telecommunication networks

  • Collect bitrate data and that from temperature sensors, radio network controllers (RNCs), and other sources
  • Reduce unplanned emergency work and perform maintenance only when necessary
  • Increase network utilization and availability
  • Reduce operational expenses by increasing the operations team’s productivity
  • Reduce customer churn by improving the customer experience
a building illustration

Smart buildings

  • Collect signals from gas, CO2, air pressure, noise, and vibration sensors
  • Optimize regular inspections of equipment
  • Identify, repair, and replace any defective equipment parts before a major breakdown
  • Adjust controls for optimal performance and energy efficiency
  • Identify moving parts that need to be lubricated to reduce wear-and-tear

How to get started

We provide flexible engagement options to help you build predictive maintenance solutions faster. Contact us today to start with a workshop, discovery, or proof of concept (POC)

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    Predictive maintenance

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