For Data Scientists

Machine Learning Unlocked

Skip the setup — Develop and train your models in an automatically version-controlled Jupyter notebook environment.

Valohai for Data Scientists

A productivity stimpak for data scientist

Run notebooks in the cloud with full version control. Valohai launches the machines when needed and automatically shuts them down after the results return to you. All your work is automatically tracked, so you can roll back to what you did last Friday — with your experiments.

Run experiments without the risk of ever losing your work

Hosted notebooks with version control

Version controlled and set up for success

With Valohai, you can write code in notebooks and run experiments without the risk of ever losing your work. No more guesswork or post-it notes about best experiments, but instead real data on which model behaved the best. Get instant rollback to the code, data, hyperparameters, environment at the click of a button.

Compare all your experiments next to each other and see how you’ve improved the model over time.

Run as many concurrent experiments in the cloud as you need

Managed cloud infrastructure

Don’t let your local machine slow you down

With Valohai, you can run as many concurrent experiments in the cloud as you need. Whether you are working on several projects at the same time or running a hyperparameter sweep, you’ll never be stuck waiting for a result before launching the next.

Best of all, you’ll never risk leaving an expensive cloud instance running because Valohai shuts them down automatically.

For Data Scientists

Valohai Essentials

Machine orchestration, hosted notebooks and version control.

$100/mo/user

Valohai scales with the team

For Data Science Teams

Valohai Professional

Machine orchestration, hosted notebooks and version control.


Shared projects, team management.

$650/mo/user

For Full Stack Teams

Valohai Enterprise

Machine orchestration, hosted notebooks and version control.


Shared projects, team management.


Pipelines, deployments.

$1,300/mo/user