Model Registry: A Single Source of Truth for What Is Live

Knowing what model version is live in which environment, with which prompt, is the kind of question that should take seconds. Without a registry it takes hours.

Why it matters

A useful model registry covers managed models, custom fine-tunes, prompts, eval datasets and deployment manifests - all linked by version.

How Bhogar AI approaches it

Bhogar AI ships a unified registry for models, prompts, eval datasets and deployment manifests with semver, lineage tracking and per-environment pinning.

• Unified registry across models, prompts, datasets, manifests
• Semver and lineage tracking
• Per-environment pinning
• Lifecycle hooks for promotion and retirement
• Compatible with MLflow and HuggingFace import

What you get

Teams answer "what is live" questions in seconds and audit "what changed" with one query.