MLOps for AWS

Manage your production ML lifecycle with a CLI tool

Install sagify

 
 

Turn on ML superpowers

Train, tune and deploy hundreds of ML models by implementing just 2 functions

Focus 100% on Machine Learning

Manage your ML models from one place without dealing with low level engineering tasks

100% reliable

No more flaky ML pipelines. Sagify offers 100% reliable training and deployment on AWS.

 

FAQs

How is Sagify different from AWS Sagemaker?

Sagify complements AWS Sagemaker by hiding all its low level details so that you can focus 100% on Machine Learning. Sagemaker is the ML engine and Sagify is the data science friendly interface.

You just need to implement 2 functions, a train and a predict in order to train, tune and deploy hundreds of ML models.

What is the pricing for Sagify?

Sagify is available for free as an open-source project. Eventually, we are planning to introduce paid features for larger teams. The core features will remain free.

Does Sagify monitor training metrics?

Yes, you are able to log performance metrics using Sagify's API. More info here.

 

Meet the team

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Pavlos

Mitsoulis Ntompos

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Joakim

Lazakis

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Alexis

Alexakis

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Thelxi

Mamagkaki

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