ParallelM MCenter, the leading MLOps platform, provides the fastest and safest path to AI value by automating the deployment, ongoing optimization, and governance of machine learning applications in production.
MCenter drives a repeatable, scalable machine learning lifecycle to minimize the risk and complexity of AI so you can deliver results today and scale for tomorrow.
As the central repository of all your machine learning activity in production, MCenter enables data scientists, IT operations, and business stakeholders to unlock the value of MLApps at scale.
Use your existing data science notebook or workbench like Jupyter
Integrations to existing engines like Spark, Flink, TensorFlow or use Docker
Integrates with current SDLC tools like Git, Bitbucket, and Cron
Advanced ML Health with automatic data drift detection using patent-pending algorithms
Champion-challenger and control/canary pipeline testing built-in
Seamless orchestration of multiple pipelines including training and inference to ensure models stay up to date, automatically
Operates in the control plane with a lightweight footprint and low overhead
Easily scales to manage thousands of model pipelines in production
Supports multiple ML applications that use the same basic pipelines
Rich model performance data with over 150 attributes monitored
Pipeline Snapshots capture critical moments for analysis
Full logging and audit trail for reporting and regulatory compliance