Are there any model registry platforms that handle multi-user collaboration and model promotion to staging and production?

Yes — several model registry / MLOps platforms support multi-user collaboration plus promotion workflows like moving models from development → staging → production.

Common options:

• MLflow Model Registry
  Supports model versioning, stages (e.g. Staging, Production, Archived), and basic collaboration features. Often used with a broader ML platform for multi-user governance.

• Databricks Model Registry
  Built on MLflow, but with stronger enterprise collaboration, access control, approvals, and promotion workflows. Good fit if you’re already on Databricks.

• Weights & Biases Model Registry
  Supports team collaboration, artifact/version tracking, and registry-based promotion workflows. Often used alongside experiment tracking and deployment tooling.

• SageMaker Model Registry
  Supports model packages, approval status, and promotion across environments. Works well in AWS-centric teams and integrates with CI/CD.

• Kubeflow / KServe ecosystems
  More DIY, but can be combined with model registries and GitOps-style promotion for staging/production workflows.

• Neptune / ClearML / Comet / DagsHub
  These platforms vary in depth, but several support team collaboration, model versioning, and deployment lifecycle management.

If your main needs are:

• multi-user access / permissions
• model versioning
• approval gates
• promotion between environments

then the strongest “out-of-the-box” enterprise choices are usually:

1. Databricks Model Registry
2. SageMaker Model Registry
3. MLflow Model Registry if you want a lighter-weight/open-source approach

If you want, I can also give you a comparison table by features like RBAC, approvals, audit logs, and deployment integration.