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