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Energy · head to head

Bidgely UtilityAI vs Wood Mackenzie Lens

Bidgely UtilityAI logo

Bidgely UtilityAI

Energy

AI-powered energy disaggregation and customer engagement

From
On request
Rated
-
Wood Mackenzie Lens logo

Wood Mackenzie Lens

Energy

Subscription research data and analytics covering oil, gas, power, renewables and mining assets

From
On request
Rated
-

The short version

  • Each has a real cost: Bidgely UtilityAI sold to utilities rather than to energy consumers, so an individual cannot buy it; Wood Mackenzie Lens licensing is per named seat and per dataset, so sharing a login across an analyst team breaches the contract and licensing the team properly multiplies the fee rather than adding to it.
  • They diverge on capability: Bidgely UtilityAI covers Energy disaggregation, Wood Mackenzie Lens covers Upstream asset data.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Bidgely UtilityAI and Wood Mackenzie Lens actually diverge.

Attributes where Bidgely UtilityAI and Wood Mackenzie Lens differ
AttributeBidgely UtilityAIWood Mackenzie Lens
PlatformsWeb, Mobile, ApiWeb, API
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 Wood Mackenzie Lens

  • Upstream asset data
  • Power and renewables
  • Metals and mining
  • Gas and LNG
  • Energy transition scenarios
  • Emissions data
  • Lens Direct
  • Scenario and portfolio tools

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 Wood Mackenzie Lens
  • Targeting energy efficiency programmes at the right customersnot Wood Mackenzie Lens
  • Detecting EV ownership for utility programmesnot Wood Mackenzie Lens
  • Demand response and load flexibility planningnot Wood Mackenzie Lens
  • Identifying customers for affordability programmesnot Wood Mackenzie Lens

Wood Mackenzie Lens

  • A corporate development team screening acquisition targets against independent asset economicsnot Bidgely UtilityAI
  • A lender or investor testing a project sponsor case against third-party cost and production estimatesnot Bidgely UtilityAI
  • A strategy team building long-term scenarios that need consistent cross-commodity assumptionsnot Bidgely UtilityAI
  • A trading or origination desk that needs asset level supply data pulled into its own models through the APInot 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

Wood Mackenzie Lens

  • Licensing is per named seat and per dataset, so sharing a login across an analyst team breaches the contract and licensing the team properly multiplies the fee rather than adding to it.
  • The content is analyst-modelled rather than operator-reported, so asset economics and reserve figures are estimates and can differ materially from what the owner of the asset publishes.
  • Modules are split by commodity and by region, and a question that spans gas and power, or Americas and EMEA, can require two or three separate subscriptions to answer.
  • Content refresh follows the research publication calendar, so individual asset records can lag a transaction or a project decision by a quarter or more, which matters on live deals.
  • Ownership passed from Verisk to Veritas Capital in 2023, so buyers signing multi-year terms are contracting with a private equity holding whose plans for pricing and packaging are not public.

Pricing, plan by plan

Bidgely UtilityAI

On request

No published plan breakdown. See the Bidgely UtilityAI review.

Wood Mackenzie Lens

On request
  • Lens subscription$undefined/year
    • Quoted per dataset and per named user
    • Regional variants of a module are priced as separate subscriptions
    • Lens Direct API access licensed on top of platform access

Which should you pick?

Choose Bidgely UtilityAI if

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

Choose Wood Mackenzie Lens if

  • You need upstream asset data.
  • You work on Web, API.
  • You also want power and renewables.

Questions people ask

Is Bidgely UtilityAI or Wood Mackenzie Lens better?
Neither clearly leads. Bidgely UtilityAI starts at On request and Wood Mackenzie Lens at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bidgely UtilityAI or Wood Mackenzie Lens?
Bidgely UtilityAI starts at On request and Wood Mackenzie Lens at On request.
Does Bidgely UtilityAI or Wood Mackenzie Lens run on more platforms?
Bidgely UtilityAI runs on Web, Mobile, Api. Wood Mackenzie Lens runs on Web, API.
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 Wood Mackenzie Lens is typically brought in for.
What can Bidgely UtilityAI do that Wood Mackenzie Lens cannot?
Bidgely UtilityAI covers Energy disaggregation, AI-powered analytics, Personalized recommendations, Customer segmentation. Wood Mackenzie Lens covers Upstream asset data, Power and renewables, Metals and mining, Gas and LNG.

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
Wood Mackenzie Lens: Am I buying software or research?

Research. Lens is the delivery platform for Wood Mackenzie analysis, and the analysis is what the price reflects.

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
Wood Mackenzie Lens: Who owns Wood Mackenzie?

Veritas Capital, which acquired it from Verisk in 2023.

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
Wood Mackenzie Lens: Can a team share one licence?

No. Licences are per named user, and sharing breaches the subscription terms.

Wood Mackenzie Lens: Can I get the data into my own models?

Yes, through Lens Direct, which is licensed separately from platform access.

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