AI Model Governance Framework

A multi-stage statistical pipeline to validate model performance, architecture similarity, and real-world sustainability.

1 Analysis Pipeline

t-SNE & Hypothesis Testing

Inter/Intra group analysis to validate significant differences between versions.

AutoML labeling

Automatic classification of models based on environment and toolsets.

Survival Analysis

Predicting "Model Decay" and identifying low-application utility.

Factor Analysis

Reducing architectural complexity to find latent structural drivers.

Select a module from the pipeline to view the mathematical approach and implementation logic.