Help us get to know you better by answering these four short questions

This is the easiest way to get a sense of which module is the right fit for your network and to learn how to optimize your expenses

What are you most interested in?

How 'smart' is your network?

What is the primary focus for your network over the next few years?

What is the most difficult problem or problems with using your data currently?

Based on your inputs, we suggest

Transformer Module

$
.00
$
.00
$
.00
  • Cost Savings:
  • Improved Metrics:
  • Expected Savings: *
  • * Estimated Savings of Implementing this Module on Your Network.

These are the expected results based on the answers you provided:

  • We’ve calculated the average improvement of your results based off your current maintenance approach compared to the results we’ve achieved with other similar utilities.
  • Some data is more valuable than other data; the type and quality of data significantly impacts our predictive model.
  • We expect that you will reallocate your current resources for predicting asset failure to other valuable projects.
1
  • Assets are maintained on a fixed schedule
  • Asset maintenance is prioritized by reading(s) taken as a proxy for condition or inspection
  • Asset maintenance is prioritized by incorporating available information into a risk algorithm driven by machine learning
Cable Predictive Health Module

$
.00
$
.00
$
.00
  • Cost Savings:
  • Improved Metrics:
  • Expected Savings: *
  • * Estimated Savings of Implementing this Module on Your Network.

These are the expected results based on the answers you provided:

  • We’ve calculated the average improvement of your results based off your current maintenance approach compared to the results we’ve achieved with other similar utilities.
  • Some data is more valuable than other data; the type and quality of data significantly impacts our predictive model.
  • We expect that you will reallocate your current resources for predicting asset failure to other valuable projects.
1
  • Assets are maintained on a fixed schedule
  • Asset maintenance is prioritized by reading(s) taken as a proxy for condition or inspection
  • Asset maintenance is prioritized by incorporating available information into a risk algorithm driven by machine learning
Please choose one of the options above
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