Softwr

Machine Learning · head to head

JMP vs Veritone

JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Free plan
Yes
Full reviewWebsite
Veritone logo

Veritone

AI

AI orchestration platform and applications for media archives, public safety evidence and advertising

From
On request
Free plan
No
Full reviewWebsite

The short version

  • Only JMP has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; Veritone nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
  • They diverge on capability: JMP covers Custom design of experiments, Veritone covers aiWARE orchestration.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which JMP and Veritone actually diverge.

Attributes where JMP and Veritone differ
AttributeJMPVeritone
Starting priceFreeOn request
Pricing modelsubscriptionquote
Free tierYesNo
PlatformsMac, WindowsWeb, API, Self-hosted
CategoryMachine LearningAI
Founded1976Unknown

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 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

Only in Veritone

  • aiWARE orchestration
  • iDEMS
  • Automated redaction
  • Media archive indexing
  • FedRAMP authorisation
  • Advertising and content intelligence
  • Voice and synthetic media
  • Self-hosted deployment

What people use each for

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

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 Veritone
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Veritone
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Veritone
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Veritone

Veritone

  • A police department buried in body camera footage that must be redacted before disclosure, where automated face and audio redaction converts weeks of manual work into review timenot JMP
  • A broadcaster or sports rights holder that cannot find footage in its own archive and loses licensing revenue because searching it costs more than the clip earnsnot JMP
  • A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot JMP
  • A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot JMP

Where each one falls short

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

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.

Veritone

  • Nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
  • The company is mid-restructure after divesting its media agency, with revenue guidance well below earlier expectations, so a buyer signing a multi-year evidence contract is taking corporate risk they can read in the public filings but cannot control.
  • The orchestration proposition means Veritone sits between you and the model vendors, so when a specific engine underperforms on your content the remedy is a support case rather than switching provider yourself.
  • The product portfolio spans law enforcement, broadcast, advertising and synthetic voice, which is a wide surface for one engineering organisation and means attention to any single application depends on where the revenue growth currently is.
  • Automated redaction is a review aid, not a guarantee: an agency remains legally responsible for what is disclosed, so the staff time saved is smaller than the demonstration implies once verification is included.

Pricing, plan by plan

JMP

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

Veritone

On request
  • aiWARE platform$undefined/year
    • Consumption-based use of the AI engine catalogue
    • Enterprise licence, quoted
    • Self-hosted and FedRAMP deployment options
  • iDEMS$undefined/year
    • Digital evidence management for law enforcement
    • Automated redaction and disclosure workflow
    • Quoted per agency, commonly on government contract vehicles
  • Media and entertainment applications$undefined/year
    • Archive indexing, monetisation and advertising intelligence
    • Quoted

Which should you pick?

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

Choose Veritone if

  • You need aiware orchestration.
  • You work on Web, API, Self-hosted.
  • You also want idems.
Veritone review

Questions people ask

Is JMP or Veritone better?
Neither clearly leads. JMP starts at Free and Veritone at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, JMP or Veritone?
JMP has a free tier; the other does not. Paid plans start at Free for JMP and On request for Veritone.
Does JMP or Veritone run on more platforms?
JMP runs on Mac, Windows. Veritone runs on Web, API, Self-hosted.
Can I use JMP for free?
Yes. JMP has a free tier, so you can try it without paying. Veritone starts at On request.
What is JMP best used for?
JMP is most often used for 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 have, process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator, exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheet, semiconductor, chemical and pharmaceutical development groups where jmp is already the shared language for reporting results. Of those, 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 have and process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulator are not what Veritone is typically brought in for.
What can JMP do that Veritone cannot?
JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools. Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.

Answered from the vendors’ own pages

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.

Veritone: What do you actually buy from Veritone?

An application, most often iDEMS for digital evidence or a media archive product. aiWARE is the platform underneath, and it is rarely purchased on its own outside enterprise and government deals.

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.

Veritone: Is pricing published?

No. Everything is quoted, and platform use is metered by consumption of the underlying AI engines, which makes forecasting a large ingest difficult.

JMP: Does it run on Linux?

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

Veritone: Is it approved for US government use?

aiWARE holds FedRAMP authorisation and can be deployed into self-hosted government tenants, which is frequently the reason it reaches a public sector shortlist.

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.

Veritone: Did Veritone sell its advertising agency?

Yes. Veritone One was divested in 2024 for up to $104 million, and the remaining company is focused on enterprise AI software and licensing.

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.

Share

Related pages

More on JMP

More on Veritone

Keep looking

Other head to heads