Package

Bundle and Version Models

Seamlessly bundle, publish and track models

Turns your finalized models into deployable packages
Turns your finalized models into deployable packages, ready for integration across various applications or environments
How it works
Once the best model is selected, it can be packaged and added to your model registry for team access.

From the registry, Gamma, your ML Engineer Co-Pilot, generates a packaging plan, transforming the model into an API  for real-time or batch processing or a Streamlit application, tailored to your deployment needs.
Why this is different?
Unlike traditional packaging methods, this feature simplifies deployment with flexible options, allowing models to be swiftly wrapped for real-time APIs, batch processing, or interactive applications.

Meet your co-pilot

Yo, Gamma here, what’s good, when last did you get a model to production ? Let’s change that!
Gamma
ML Engineer
Your ML Engineer Co-Pilot manages model packaging, deployment, and maintains continuous learning pipelines for monitoring and observability.

Build AI with AI and go from prototype to deployment in days