ALO-ML

MLOps Dev Framework

Standardized ML Service Development Framework

Through a standardized framework, developers can easily build high-quality ML services. Consistent coding standards and formats maintain code quality and make maintenance simple.
With ML logic code built on the ALO-ML framework, you can utilize various features of MLOps.

Intuitive AI/ML Operation

Efficient AI Model Training and Deployment

AI Solutions registered through the ALO-ML framework can utilize Mellerikat's MLOps solution to easily perform the entire process from model training to deployment in the service environment via a web UI.
This allows users to efficiently develop, train, optimize, and deploy AI models without complex processes.

Reliable AI Performance

Synchronization of Development and Operation Environments

ALO-ML containerizes AI Solutions to minimize differences between development and production environments. This ensures that the environment set during individual development is maintained identically during service operation, guaranteeing consistent model performance.
This feature of ALO-ML allows AI models to deliver predictable and stable performance even in production, supporting highly reliable AI services.