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iPredict™ for electricity distribution

Prevent power outages by predicting asset failures weeks in advance

Contact us for a demo

Improve services for your customers while reducing your costs with iPredict™, the world’s first artificially intelligent system for predicting failures in critical electricity distribution assets.

By showing which assets are likely to fail within the next two weeks, iPredict lets utility companies plan repairs, making it possible to manage costs and give critical infrastructure advanced notice to minimise disruption.



accuracy in predicting equipment failures two weeks out.


accuracy in predicting equipment failures three days out.

Why choose iPredict™?

iPredict™ collects high frequency sub-cycle data and analyses it in near real-time to identify the warning signs of an imminent failure of distribution system components. That means utilities can:

Reduce unplanned customer outages

By predicting imminent faults and failures, utilities can proactively schedule resources, materials and customer notifications, letting them repair or replace assets with much less disruption than emergency responses create.

Improve customer satisfaction

iPredict makes it possible to let customers know about maintenance work in advance, which is crucial to building a trusted brand. And by telling customers how long works will take, they’ll be able to prepare, minimising the inconvenience.

Reduce operation and maintenance costs

As iPredict dramatically reduces the amount of emergency repairs needed, overtime and out-of-hours costs fall. And with maintenance time targeted towards at-risk assets, repairs and replacements will be more efficient.

Improve employee and public safety

Scheduling repairs and replacements will let utilities properly control traffic and arrange work during daylight hours to improve safety for engineers. It will also cut unexpected outages that disrupt everything from traffic lights to hospitals.

Schedule work to maximise safety

Ingeniously simpleIngeniously simple
No maintenance, no complexity

Notify customers of planned outages

Plan work, rather than react to issues

Integrates all relevant data into a dynamic algorithm

Cost effectiveCost effective
Manage and deploy resources more effectively

What our customers say

“We’ve worked with PA on numerous initiatives, from their ReliabilityOne™ program to circuit risk data modelling,” says Tom Bialek, Chief Engineer, San Diego Gas & Electric. “We were eager to co-develop this first-of-its-kind program that could benefit the entire industry by proactively predicting underground and overhead equipment failures.”

“We’re excited to be on the forefront of predicting asset failures, so we can improve the reliability of the services we deliver to our customers,” says Tom Bialek. We expect that “iPredict™ should allow us to prioritize and proactively schedule work so we can improve safety for our crews, reduce operational and maintenance costs, and minimize outage impacts on our customers.”

San Diego Gas & Electric

It’s never been more important to minimize power supply disruptions. Find out how SDG&E made its distribution network even more reliable with iPredict™, a system that uses Big Data and Machine Learning to predict faults before they happen.

Read the client story

Prevent power outages by predicting asset failures weeks in advance

Contact us for a demo

Contact us

To find out more get in touch with one of our experts today.

Gregg Edeson

Gregg Edeson

PA energy and utilities expert
Derek HasBrouck

Derek HasBrouck

PA energy and utilities expert