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Energy · head to head

Bidgely UtilityAI vs Cognite Data Fusion

Bidgely UtilityAI logo

Bidgely UtilityAI

Energy

AI-powered energy disaggregation and customer engagement

From
On request
Rated
-
Full reviewWebsite
Cognite Data Fusion logo

Cognite Data Fusion

Energy

Industrial data platform that contextualises OT, IT and engineering data into an asset-centric knowledge graph

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Bidgely UtilityAI sold to utilities rather than to energy consumers, so an individual cannot buy it; Cognite Data Fusion the platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.
  • They diverge on capability: Bidgely UtilityAI covers Energy disaggregation, Cognite Data Fusion covers Asset-centric data model.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Bidgely UtilityAI and Cognite Data Fusion actually diverge.

Attributes where Bidgely UtilityAI and Cognite Data Fusion differ
AttributeBidgely UtilityAICognite Data Fusion
PlatformsWeb, Mobile, ApiWeb, Cloud
Founded2011Unknown

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Energy).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Bidgely UtilityAI

  • Energy disaggregation
  • AI-powered analytics
  • Personalized recommendations
  • Customer segmentation
  • Home energy reports
  • Program enrollment
  • Mobile app platform
  • Behavioral insights

Only in Cognite Data Fusion

  • Asset-centric data model
  • Entity matching
  • P&ID parsing
  • 3D contextualisation
  • Cognite Atlas AI
  • Data workflows
  • Open SDKs
  • Extractors

What people use each for

The jobs each tool is most often brought in to do.

Bidgely UtilityAI

  • Disaggregating household energy use to appliance level from meter datanot Cognite Data Fusion
  • Targeting energy efficiency programmes at the right customersnot Cognite Data Fusion
  • Detecting EV ownership for utility programmesnot Cognite Data Fusion
  • Demand response and load flexibility planningnot Cognite Data Fusion
  • Identifying customers for affordability programmesnot Cognite Data Fusion

Cognite Data Fusion

  • An operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one searchnot Bidgely UtilityAI
  • A company standardising asset data across sites so an analytics team can build once and deploy to many plantsnot Bidgely UtilityAI
  • An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadatanot Bidgely UtilityAI
  • A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meantnot Bidgely UtilityAI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

Cognite Data Fusion

  • The platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.
  • Pricing is consumption-based and unpublished, so costs move with data volume and usage patterns you cannot forecast well until a year in.
  • It does not replace your historian, your ERP or your maintenance system, so Cognite is an additional recurring cost layered on systems you still pay for.
  • The reference base and data model lean heavily towards Norwegian and wider oil, gas and process industries; discrete manufacturing fit is weaker and the local partner network thinner outside energy.
  • Getting value out requires in-house Python and data engineering skill; organisations without a data team end up dependent on Cognite professional services for every new use case.

Pricing, plan by plan

Bidgely UtilityAI

On request

No published plan breakdown. See the Bidgely UtilityAI review.

Cognite Data Fusion

On request
  • Cognite Data Fusion$undefined/year
    • Consumption-based pricing on data volume, compute and users
    • Available through cloud marketplaces with private offers
    • Contextualisation and onboarding quoted as a separate engagement

Which should you pick?

Choose Bidgely UtilityAI if

  • You need energy disaggregation.
  • You work on Web, Mobile, Api.
  • You also want ai-powered analytics.
Bidgely UtilityAI review

Choose Cognite Data Fusion if

  • You need asset-centric data model.
  • You work on Web, Cloud.
  • You also want entity matching.
Cognite Data Fusion review

Questions people ask

Is Bidgely UtilityAI or Cognite Data Fusion better?
Neither clearly leads. Bidgely UtilityAI starts at On request and Cognite Data Fusion at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bidgely UtilityAI or Cognite Data Fusion?
Bidgely UtilityAI starts at On request and Cognite Data Fusion at On request.
Does Bidgely UtilityAI or Cognite Data Fusion run on more platforms?
Bidgely UtilityAI runs on Web, Mobile, Api. Cognite Data Fusion runs on Web, Cloud.
What is Bidgely UtilityAI best used for?
Bidgely UtilityAI is most often used 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. Of those, disaggregating household energy use to appliance level from meter data and targeting energy efficiency programmes at the right customers are not what Cognite Data Fusion is typically brought in for.
What can Bidgely UtilityAI do that Cognite Data Fusion cannot?
Bidgely UtilityAI covers Energy disaggregation, AI-powered analytics, Personalized recommendations, Customer segmentation. Cognite Data Fusion covers Asset-centric data model, Entity matching, P&ID parsing, 3D contextualisation.

Answered from the vendors’ own pages

Bidgely UtilityAI: Why is pricing not published for Bidgely?

Bidgely does not list specific pricing on its website. Interested parties are directed to contact the company through 'Contact Us' or 'Speak with an Expert' options for pricing inquiries.

Source
Cognite Data Fusion: Is Cognite a historian?

No. It reads from historians such as PI System and adds context. You still need the historian underneath.

Bidgely UtilityAI: How do I get a pricing quote from Bidgely?

Bidgely directs potential customers to use the 'Speak with an Expert' call-to-action on their website to discuss pricing and capabilities.

Source
Cognite Data Fusion: How is it priced?

Consumption-based on data, compute and users, quoted per customer. Nothing is published.

Bidgely UtilityAI: Is there a free trial available without a sales contact?

The website does not mention a free trial option. All pricing inquiries appear to require direct engagement with Bidgely's sales team.

Source
Cognite Data Fusion: How long does a deployment take?

First useful graph in a few months is realistic; full plant contextualisation across a site is typically a year or more.

Cognite Data Fusion: Can we do the contextualisation ourselves?

Technically yes, the SDKs and matching tools are open, but most customers use Cognite or a partner for the first site.

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