Momentum MLOps provides CI/CD for ML pipeline so that data engineers and scientists can deploy models from their development environment into production.

Data Scientists can continue using tools and programming languages of their choice to develop models and be able to efficiently deploy, manage, monitor, and scale their models in production.

Model version control, A/B testing, data drift detection, model drift detection, team collaboration, and model governance are some of the key features that streamline the overall enterprise ML process.

• Data scientists develop models in the language of their choice and are able to publish them to production right from their code.
• Supports CI/CD via multiple protocols (Restful, cURL, web UI)
• Network and application security
• Role-based access
• Model governance
• Model registry
• Version control and A/B testing
• Data drift detection
• Model performance and drift monitoring
• Monitoring dashboard and reporting
• Lightweight and highly scalable