
One AI Platform - From Pipelines to Agents
ZenML provides a unified MLOps and LLMOps platform that abstracts infrastructure complexity while maintaining reproducibility across ML workflows. The framework stands out for its vendor-agnostic approach and extensive integration ecosystem, though it requires Kubernetes expertise for optimal deployment.

ZenML is an extensible, open-source MLOps framework designed to streamline machine learning operations and GenAI workflows. Founded with the mission of bridging the gap between data scientists and ML engineers, the platform enables teams to create portable, production-ready pipelines that can run on any infrastructure stack with minimal configuration changes. The framework provides workflow orchestration, artifact versioning, infrastructure abstraction, and governance tools that help organizations achieve reproducibility across their AI initiatives. The company offers both an open-source foundation under Apache 2.0 license and a managed Pro offering for enterprise needs. ZenML integrates with over 60 tools across the AI ecosystem, from traditional ML frameworks like Scikit-learn and PyTorch to modern GenAI tools including LangChain and LlamaIndex. Trusted by companies including JetBrains, ADEO Leroy Merlin, and Brevo, ZenML has established itself as a unified platform that standardizes complex ML and LLM workflows on Kubernetes while maintaining SOC2 and ISO 27001 compliance for enterprise security requirements.