Models are temporary, pipelines are forever.

Train, Evaluate, Deploy, Repeat. Valohai is the only MLOps platform that automates everything from data extraction to model deployment.

ML Pipeline

End-to-end ML pipelines

Automate everything from data extraction to model deployment.

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Model Library

Model library

Store every single model, experiment and artifact automatically.

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Model Deployment

Model deployment

Deploy and monitor models in a managed Kubernetes cluster.

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We work with

KonuxLevityLEGO GroupSILO.AISharperShapeJFrogPARCEarthCube
Levity

Success Story

Why Levity adopted Valohai instead of hiring their first MLOps engineer

Levity enables companies to automate workflows specific to their business using models trained on-demand with custom data sets.

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Even with all the ready-made pieces we could use to build our solution, it just becomes an unreasonable budget and resourcing request to build and maintain our own custom MLOps solution.
Thilo Huellmann – CTO & Co-Founder at Levity

Join the companies taking their ML to the next level.

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Latest blog posts

The Easiest Way to Become a Valohai User

Henrik Skogström / November 24, 2020

Buying an MLOps platform is tricky and for that reason we’ve introduced a model where teams can sign up for a two-week proof-of-concept project to test out our platform with their environment and projects.

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When Is a Machine Learning Model Good Enough for Production, and How to Stress About It Only Once?

Henrik Skogström / November 17, 2020

As you start incorporating machine learning models into your end-user applications, the question comes up: “When is the model good enough to deploy?” There simply is no single right answer.

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