Model Registry Setup
Without a model registry, your team doesn't know what's deployed in production, when it was trained, or what data it used. We deploy a registry that tracks model versions, stage transitions, lineage, and metadata — the single source of truth for your ML artifacts.
Need this done for your project?
We implement, you ship. Async, documented, done in days.
Registry Architecture
We deploy MLflow Model Registry, Seldon's Model Store, or a custom registry built on S3 + DynamoDB. The registry stores model artifacts, metadata (hyperparameters, metrics, training data hash), and stage labels (development/staging/production). Model artifacts get deduplicated to save storage. The registry API integrates with both your training pipeline (auto-register on training completion) and deployment pipeline (pull latest production model).
Stage Management & Governance
Models progress through defined stages with transition rules. Promotion from staging to production requires: evaluation metrics above threshold, approval from a reviewer (optional for automated flows), and no conflicting A/B tests. Demotion is automatic on rollback. Every transition gets logged with the actor, timestamp, and reason — full audit trail.
Lineage & Reproducibility
Each registered model links back to its training run (experiment, parameters, code commit), training data version (DVC hash or dataset snapshot ID), and evaluation results. Given any production model, you can trace back to the exact data and code that produced it. This lineage is critical for debugging, compliance, and reproducing results.
API & Integration
The registry exposes a REST API for programmatic access. Deployment pipelines query for the latest production model by name. Training pipelines register new versions on completion. Webhooks trigger on stage transitions — connecting the registry to Slack notifications, deployment pipelines, and monitoring updates. You get a registry that's the hub of your ML workflow, not a standalone tool.
Why Anubiz Engineering
Ready to get started?
Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.