ZenML
zenml.ioOne layer for orchestration, versioning, and governance — from training pipelines to agent evals.
Ops & Inframlopsllmopsorchestrationmachine-learningpipelinesopen-sourcekubernetes
About
ZenML is an AI control plane that provides a unified layer for orchestrating, versioning, and governing machine learning and GenAI workflows. It acts as a metadata layer on top of existing infrastructure, supporting 60+ integrations across the AI ecosystem including Kubernetes, AWS, GCP, and popular ML frameworks. It is available as an open-source framework (Apache 2.0) and as a managed Pro product for scaling teams.
Problem
Teams struggle to manage models, datasets, code, and monitoring as they deploy ML models into production across diverse infrastructure.
For
ML engineers and data science teams building production AI workflows
How it works
ZenML sits as a metadata and orchestration layer on top of existing infrastructure, allowing teams to write pipelines locally and deploy them on any orchestrator with consistent versioning and governance.
Business model
freemium
Status
launched