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Energy · head to head

Bidgely UtilityAI vs JMP

Bidgely UtilityAI logo

Bidgely UtilityAI

Energy

AI-powered energy disaggregation and customer engagement

From
On request
Rated
-
Full reviewWebsite
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: Bidgely UtilityAI sold to utilities rather than to energy consumers, so an individual cannot buy it; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • They diverge on capability: Bidgely UtilityAI covers Energy disaggregation, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Bidgely UtilityAI and JMP actually diverge.

Attributes where Bidgely UtilityAI and JMP differ
AttributeBidgely UtilityAIJMP
Starting priceOn requestFree
Pricing modelquotesubscription
Free tierNoYes
PlatformsWeb, Mobile, ApiMac, Windows
CategoryEnergyMachine Learning
Founded20111976

Identical on both: user rating (Not yet rated).

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 JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

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

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot Bidgely UtilityAI
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Bidgely UtilityAI
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Bidgely UtilityAI
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot 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

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

Pricing, plan by plan

Bidgely UtilityAI

On request

No published plan breakdown. See the Bidgely UtilityAI review.

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

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 JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.
JMP review

Questions people ask

Is Bidgely UtilityAI or JMP better?
Neither clearly leads. Bidgely UtilityAI starts at On request and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Bidgely UtilityAI or JMP?
JMP has a free tier; the other does not. Paid plans start at On request for Bidgely UtilityAI and Free for JMP.
Does Bidgely UtilityAI or JMP run on more platforms?
Bidgely UtilityAI runs on Web, Mobile, Api. JMP runs on Mac, Windows.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Bidgely UtilityAI starts at On request.
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 JMP is typically brought in for.
What can Bidgely UtilityAI do that JMP cannot?
Bidgely UtilityAI covers Energy disaggregation, AI-powered analytics, Personalized recommendations, Customer segmentation. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

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
JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

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
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

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
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

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