GML: an ML and agentic framework on GCP for Gap Inc.
Created for Gap Inc. via Tredence in collaboration with Google, GML standardizes how ML and agentic use cases move from development to deployment on GCP.
- GML end-to-end ML and agentic framework on GCP. Created with Google; reviewed and signed off by Google.
Context & problem
Every ML and agentic use case at enterprise scale tends to be built as a one-off, with its own scaffolding, deployment path, and operational surprises. Gap Inc. needed a standard way to take ML and agentic use cases from development to deployment on GCP. Tredence delivered the framework in collaboration with Google.
My role
At Tredence, I designed and built GML with Google: the end-to-end framework that standardizes how ML and agentic use cases are developed and deployed on GCP. Google reviewed and signed off on the resulting framework.
What it changes
The framework gives teams shared scaffolding, a common deployment path, and reusable agentic patterns instead of asking each use case to invent its own.
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