Model Registry Capabilities
📦 Model Storage
Centralized repository for all ML models with secure storage.
- Artifact storage
- Binary management
- Model packaging
- Compression
- Encryption at rest
🔢 Version Control
Complete version history for all models and experiments.
- Semantic versioning
- Version comparison
- Rollback support
- Branch management
- Tag annotations
📊 Model Metadata
Comprehensive metadata tracking for discoverability and governance.
- Training parameters
- Performance metrics
- Data lineage
- Feature schemas
- Custom attributes
🔄 Stage Management
Transition models through development, staging, and production.
- Stage transitions
- Approval workflows
- Promotion rules
- Demotion handling
- Archive policies
🔍 Model Discovery
Find and reuse models across teams and projects.
- Search & filter
- Model catalog
- Documentation
- Usage tracking
- Recommendations
🛡️ Governance
Enterprise governance for model risk management and compliance.
- Access control
- Audit logging
- Compliance tracking
- Model cards
- Risk assessment
Model Lifecycle Stages
Development
Experimentation
Registered
Documented
Staging
Validation
Approved
Ready
Production
Deployed
Archived
Retired
Key Features
Lineage Tracking
Full data and code lineage for reproducibility
API Access
REST and SDK access for automation
Security
Role-based access and encryption
CI/CD Integration
Pipeline integration for MLOps
Centralize Your Models
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