Custom Model Wrapper And Inference Server Abstraction

Enterprise ML deployment with inference graphs and drift detection.

Unique: Provides multiple wrapper patterns (Python class, Docker container, language-agnostic) enabling models from any framework to be served without modification, with automatic serialization and error handling built into the serving layer

vs others: More flexible than framework-specific serving solutions (TensorFlow Serving, TorchServe) for multi-framework environments; simpler than building custom inference servers with FastAPI or Flask