Deploy from any Python environment

Jupyter, Hex, DeepNote, Colab, SageMaker and more.
modelbit.deploy() works everywhere.
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Snowflake code calling a Modelbit model

Deploy from modern cloud data science notebooks

Modelbit integrates seamlessly with Hex, DeepNote, Noteable and more. Take your model straight from your favorite cloud notebook into production.

Deploy From HexDeploy From DeepNote

Deploy from Jupyter in all its forms

Jupyter Notebook. Jupyter Lab. Colab. SageMaker notebooks. No matter which you choose, pip install modelbit and modelbit.deploy() work out of the box.

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Sample data rows and results metadata from a Modelbit dataset
Snowflake code calling a Modelbit model

Migrate your SageMaker models to Modelbit

Sick of VPC configurations and IAM roles? Seamlessly redeploy your SageMaker models to Modelbit. Immediately reap the benefits of Modelbit's platform with the models you've already built.

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Deploy with git

For models built outside of notebooks, deploy from the command line, your IDE, or your favorite git tool. Deploy to production with a simple git push.

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Sample data rows and results metadata from a Modelbit dataset

Explore Modelbit

Infer everywhere

Call your model from Snowflake, Redshift, dbt and REST.

Backed by your git repo

Version control, CI/CD, code review and more. All with your own git tools.

All the bells and whistles

Logging, monitoring, observability and more.

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