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Bidgely UtilityAI

AI-powered energy disaggregation and customer engagement

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Overview

What Bidgely UtilityAI does

Bidgely UtilityAI uses artificial intelligence and energy disaggregation to provide utilities with deep insights into customer energy usage, enabling personalized engagement, targeted programs, and improved customer satisfaction.

What people use it for

  • Disaggregating household energy use to appliance level from meter data
  • Targeting energy efficiency programmes at the right customers
  • Detecting EV ownership for utility programmes
  • Demand response and load flexibility planning
  • Identifying customers for affordability programmes

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The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Bidgely UtilityAI.

  • Sold to utilities rather than to energy consumers, so an individual cannot buy it
  • Pricing is not published
  • Value depends on access to meter data, so it needs the utility's own data pipeline

Capabilities

Features

  • Energy disaggregation

    Energy disaggregation capability

  • AI-powered analytics

    AI-powered analytics capability

  • Personalized recommendations

    Personalized recommendations capability

  • Customer segmentation

    Customer segmentation capability

  • Home energy reports

    Home energy reports capability

  • Program enrollment

    Program enrollment capability

  • Mobile app platform

    Mobile app platform capability

  • Behavioral insights

    Behavioral insights capability

  • Smart meters

    Integration with Smart meters

  • AMI systems

    Integration with AMI systems

  • CIS platforms

    Integration with CIS platforms

  • Marketing automation

    Integration with Marketing automation

Behind it

Who makes Bidgely UtilityAI

Company
Bidgely Inc
Based in
Mountain View, CA
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Where to go from Bidgely UtilityAI

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Softwr does not host reviews and shows no star rating for Bidgely UtilityAI, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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