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 GroupYousicianSharperShapeJFrogTwitterPreligens

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

Product Update: Datum Improvements

Juha Kiili / July 07, 2021

Datum is a version-controlled file inside the Valohai platform. Every datum is immutable by design. We have introduced three new improvements for more flexibility over datums.

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Data Augmentation Helps Improve Model Accuracy

Henrik Skogström / July 05, 2021

Putting together a suitable dataset for training a model can be one of the biggest challenges. Data augmentation is an approach where you start with an existing dataset and expand it to have more variety.

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