Pricing

Go with subscription plan mixed with pay-as-you-go!

Subscription plans

Free Hobby Professional Small Business Organization
$0 / month $50 / month $100 / month $200 / month -
1 machine 4 machines 8 machines 12 machines Unlimited machines
Dataset limit 0.25 GB Dataset limit 1 GB Dataset limit 2 GB Dataset limit 4 GB Dataset limit 32 GB
30 days of project history Unlimited project history Unlimited project history Unlimited project history Unlimited project history
10 credits for start 50 credits each month 100 credits each month 200 credits each month Unlimited credits
Compute on MLJAR Cloud Compute on MLJAR Cloud Compute on MLJAR Cloud Compute on MLJAR Cloud Compute on your AWS, GCP or Azure
1 user 1 user 1 user 1 user Up to 10 users
Sign up now Subscribe Subscribe Subscribe Contact us

Need more credits?

Select plan for you and just buy more credits as prepaid

Pay as you go packages

15 Credits

$10

($0.667 per credit)

Buy now

40 Credits

$25

($0.625 per credit)

Buy now

90 Credits

$50

($0.556 per credit)

Buy now

200 Credits

$100

($0.500 per credit)

Buy now

How it works?


You pay for computational time used for models training, predictions and data analysis

1 credit is 1 computation hour on machine with 8 CPU and 15GB RAM

Computational time is aggregated per second basis


Pricing FAQ

Can I get started for free?

YES! Each user receives 10 free credits for a start. This is one time, just for a start.

Is there a free subscription plan?

YES! Each user for a start is on our Free plan. You can stay with this plan as long as you want. However, it has some limitations. Your computation will be performed only on one machine and there is 30 days of project history, which means that your project (datasets, models, predictions) will be deleted after 30 days. To store all your results longer, there is a Hobby plan which is $50 per month. With the Hobby plan you will get 4 machines for computations and your data will be stored as long as you stay with MLJAR.

What is a project history period?

It's a time period that all your results and analysis are stored in MLJAR cloud. For Free plan it is 30 days, which means that after 30 days from the project create date your project (all data, results, models and predictions associated with the project) will be deleted. If you are on a paid plan, then history period is as long as you stay with MLJAR.
When you downgrade to Free plan, you have 30 days to download your results and models - after this period your project will be deleted.

Do I need a credit card for the start?

No, you can simply sign-up for free and you will get one-time 10 credits for start.

How much is one credit worth?

One credit is worth one hour of computation on machine with 8 CPU and 15 GB RAM. There are following actions used in the computation: dataset analysis, models training, hyper-parameters search, predictions. Computational time is aggregated per second basis.

What happens when I run out of credits?

Without credits you cannot analyze new datasets, train new models and run predictions, training of your initialized models will be stopped. However, you can still have access to your results, models, and analysis.

How do I buy credits ?

You can order more credits from your account page.

Can I rollover unused credits ?

Credits that you have purchased never expire and can be used at any time.

Can I upgrade my plan?

Yes, you can. You can upgrade your plan at any time.

Can I downgrade my plan?

Sure, monthly subscribers can downgrade their plan. Downgrading your plan comes into effect the following month.

Can I cancel my subscription?

You can cancel your subscription at any time. Cancelling your plan comes into effect the following month.

Is this a secure site for purchases?

Absolutely! We work with Stripe which guarantees your safety and security. All site communication and data transfer are secured and encrypted.

What payment services do you support?

We accept all major credit and debit cards.

More questions?

Please contact us, we are happy to help and answer all questions.