For ML Engineers

Get ready for production

Build ML pipelines for your team and let data scientists deploy their models without pulling your sleeve all the time.

Valohai for ML Engineers

All the MLOps you’ll ever need

Valohai provides the MLOps tools all the way from model exploration with notebooks to automated data pipelines and deploying models into production. Valohai self-documents all of your experiments and makes every run reproducible. Everything in Valohai is built API-first for easy integration of your ML pipeline into your existing software pipeline.

Streamlined machine learning pipeline ensures that steps integrate together

Machine learning pipeline

From experimentation to deployment

Valohai’s streamlined machine learning pipeline ensures that steps integrate together, regardless of who wrote the code or which language or framework was used. Combine Jupyter notebooks with datasets from Spark, augment your image data with Unity, automatically train 100 different models, and deploy the best one in your Kubernetes cluster. Without touching a button.

Pipeline configuration is easy. Just define the steps in the YAML file and data scientists will have the pipeline available on Valohai UI.

Data scientists don’t have to know how clusters work or what Kubernetes is

Deployment

Inference is one click away

We will help you to set up deployment inside your Kubernetes cluster. Data scientists don’t have to know how clusters work or what Kubernetes is – they just pick the model and Valohai will give a scalable HTTP endpoint they can use.

For Full Stack Teams

Valohai Enterprise

Machine orchestration, hosted notebooks and version control.


Shared projects, team management.


Pipelines, deployments.

$1,300/mo/user

Valohai scales with the team

For Data Scientists

Valohai Essentials

Machine orchestration, hosted notebooks and version control.

$100/mo/user

For Data Science Teams

Valohai Professional

Machine orchestration, hosted notebooks and version control.


Shared projects, team management.

$650/mo/user