AI · head to head
Avathon vs JMP

Avathon
AI
Industrial AI for asset performance and renewables, formerly SparkCognition
- From
- On request
- Free plan
- No

JMP
Machine Learning
Desktop statistical and design of experiments software from a SAS subsidiary
- From
- Free
- Free plan
- Yes
The short version
- Only JMP has a free tier, so it costs nothing to try first.
- Each has a real cost: Avathon the company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.; 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: Avathon covers Renewable Suite, JMP covers Custom design of experiments.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Avathon and JMP actually diverge.
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 Avathon
- Renewable Suite
- Loss attribution
- Predictive maintenance models
- Computer vision
- Digital twin models
- Work order integration
- Fleet benchmarking
- Document intelligence
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.
Avathon
- A wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm countnot JMP
- A solar independent power producer detecting inverter and string underperformance that falls below the SCADA alarm thresholdnot JMP
- A manufacturer with years of historian data and failure records who wants failure prediction models trained on their own historynot JMP
- A site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zonesnot 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 Avathon
- Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot Avathon
- Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot Avathon
- Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot Avathon
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Avathon
- The company rebranded from SparkCognition to Avathon and narrowed its focus after repeated reported layoff rounds, so reference checks and roadmap commitments made under the old name need reconfirming.
- Headcount is in the low hundreds against a product portfolio spanning renewables, vision, predictive maintenance and document AI, which is thin coverage per product line for enterprise support expectations.
- Model accuracy depends on having enough labelled historical failures, and sites with short data history or poor maintenance record-keeping get generic anomaly detection rather than useful failure prediction.
- Nothing is published about pricing or asset-count thresholds, so there is no way to judge whether a small fleet is even a viable customer without entering a sales cycle.
- It sits on top of your SCADA and CMMS rather than replacing them, so the integration and asset-hierarchy mapping work is a real project cost that the software subscription does not cover.
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
Avathon
On request- Avathon$undefined/year
- Annual subscription sized by asset count or installed megawatts for renewables
- Separate pricing for vision, predictive maintenance and document products
- Model development and data onboarding quoted as a professional services project
JMP
Free- TrialFree
- 30-day trial
- Full features
- JMP$1785/year
- Core JMP
- Standard features
Which should you pick?
Choose Avathon if
- You need renewable suite.
- You work on Web, Cloud.
- You also want loss attribution.
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.
Questions people ask
- Is Avathon or JMP better?
- Neither clearly leads. Avathon 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, Avathon or JMP?
- JMP has a free tier; the other does not. Paid plans start at On request for Avathon and Free for JMP.
- Does Avathon or JMP run on more platforms?
- Avathon runs on Web, Cloud. JMP runs on Mac, Windows.
- Can I use JMP for free?
- Yes. JMP has a free tier, so you can try it without paying. Avathon starts at On request.
- What is Avathon best used for?
- Avathon is most often used for a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count, a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold, a manufacturer with years of historian data and failure records who wants failure prediction models trained on their own history, a site using cameras to detect missing personal protective equipment or unauthorised entry into restricted zones. Of those, a wind fleet owner wanting underperforming turbines ranked by lost megawatt hours rather than by alarm count and a solar independent power producer detecting inverter and string underperformance that falls below the scada alarm threshold are not what JMP is typically brought in for.
- What can Avathon do that JMP cannot?
- Avathon covers Renewable Suite, Loss attribution, Predictive maintenance models, Computer vision. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.
Answered from the vendors’ own pages
Avathon: Is this the same company as SparkCognition?
Yes. SparkCognition rebranded to Avathon and refocused on industrial and government asset AI.
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.
Avathon: Which product is most mature?
The renewable energy suite for wind and solar underperformance, which has the longest production deployment history.
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.
Avathon: Does it need my historian data in the cloud?
Generally yes for model training and ongoing scoring, which is a security review item for utility and defence customers.
JMP: Does it run on Linux?
No. Windows and macOS only, as an installed application.
Avathon: Can it work without historical failure records?
It will still do anomaly detection, but failure prediction models need labelled historical failures to be worth the deployment cost.
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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