A managed control plane for ML pipelines and AI agents

ZenML Pro runs both workspaces under one paid product: ZenML for ML pipelines, Kitaru for durable agents. Single pane of glass, enterprise governance, no infrastructure setup.

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ZenML Pro · two sub-products, one plan

Managed control plane

Hosted infrastructure across both workspaces. You ship workflows; we run the plane.

ZenML workspace

Pipeline DAGs, artifact store, model registry, and a shared stack abstraction. Run on Kubernetes, Vertex, SageMaker, AzureML.
Kitaru workspace

Durable execution for Python agents. Distributed replay, scheduled / API / webhook triggers, dashboard control over wait/resume.
Single pane of glass

One control plane spans both workspaces. Per-project surface; ML and Agent runs side by side in the dashboard.

Enterprise governance

What buyers need to ship in regulated environments — across both workspaces.

SSO + RBAC + audit

SAML / OIDC SSO and SCIM provisioning. Custom RBAC roles and org-wide audit logs. Same controls on ML and Agent workloads.
Compliance

SOC 2 Type II and ISO 27001. BYOK encryption. Multi-region and air-gapped deployment available.
Support + SLA

24/7 dedicated support with a named solutions engineer and an SLA on response and resolution times.

Trusted by 1,000s of top companies to standardize their AI workflows

"ZenML cuts out a lot of the infrastructure busywork so I can focus more on the tasks relevant to me. ZenML Pro helps us to keep an overview, as all components we need for MLOps, including documentation and metrics are available in one place!"

Florian Pfisterer

ML Engineer, Hema.to

We guide you from the first minute

Get set up in less than a day

When you choose ZenML Pro, we don’t just hand over the keys. We make sure your infrastructure is ready, your pipelines are running, and your data scientists are onboarded.

Guided Onboarding

Get personalized support to write your first ML pipelines, ensuring a smooth start on your MLOps journey with ZenML.

Seamless Infrastructure Setup

We handle the setup of your MLOps infrastructure, so you can focus on building exceptional models. Bring your own cloud!

Production Ready

Our experts will help your teams to connect your workflow and set up initial automations, streamlining your operations.

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Flexibility

Organize assets into Projects

Safe, isolated environments to structure your projects and separate concerns between teams.

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Optimization

Streamlined Pipeline Management

Enhanced pipeline controls including the ability to create run templates and trigger from the dashboard.

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Governance

Role-based access control and permissions

Ensure high security standards by giving granular permissions and access to the entire team.

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Speed

Enterprise-Grade Support and Onboarding

Get access to our network of experts for advice on setting up your MLOps platform and onboarding onto ZenML.

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No compliance headaches

Your VPC, your data

ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side.

ZenML only has access to metadata; your data remains in your VPC

ZenML is SOC2 and ISO 27001 Compliant

We Take Security Seriously

ZenML is SOC2 and ISO 27001 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data.

Open Source vs Pro

ZenML Pro is Open Source and More

Built from the foundations the Open Source product, ZenML Pro is the best way to scale ZenML usage in your team.

Managed control plane

ZenML Pro offers multi-tenant, fully-managed ZenML deployments. Separate your team into workspaces, and deploy dev, staging, and production servers separately.

Roles and Permissions

ZenML Pro tenants have built-in roles and permissions, as an extension to the open-source product. We connect ZenML with your OIDC provider and offer SSO.

Control and configurability

ZenML Pro control plane allows you to run ZenML pipelines directly from the server, and features enhanced configurability for your pipeline builds.

Enhanced observability

ZenML Pro tenants have an enhanced dashboard with more features including a model control plane to view all your ML models, and the ability to trigger pipelines, do CI/CD and lots more.

ZenML Cloud toolbox emerging from a box.

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"ZenML offers the capability to build end-to-end ML workflows that seamlessly integrate with various components of the ML stack, such as different providers, data stores, and orchestrators."

Harold Giménez

SVP R&D at HashiCorp

"ZenML allows you to quickly and responsibly go from POC to production ML systems while enabling reproducibility, flexibility, and above all, sanity."

Goku Mohandas

Founder of MadeWithML

"ZenML allows orchestrating ML pipelines independent of any infrastructure or tooling choices. ML teams can free their minds of tooling FOMO from the fast-moving MLOps space, with the simple and extensible ZenML interface."

Richard Socher

Former Chief Scientist Salesforce and Founder of You.com

A lot of our teams struggle to bring sanity to their model training processes. ZenML is built in a way that encourages good, maintainable pipelines.

Matt Squire

CTO at Fuzzy Labs

ZenML allows you to keep your ML pipeline code cloud-agnostic, enabling faster future migrations to another technology stack.

Gabriel Martin

Machine Learning Engineer at Frontiers

Thanks to ZenML we’ve set up a pipeline where before we had only jupyter notebooks. It helped us tremendously with data and model versioning!

Francesco Pudda

Machine Learning Engineer at WiseTech Global

Support

Frequently asked questions

Everything you need to know about ZenML Pro

Does ZenML Pro cover the Kitaru agent workspace too?

Yes. ZenML Pro is the paid plane over both sub-products — ZenML for ML pipelines and Kitaru for durable AI agents. Same control plane, same SSO/RBAC/audit, same compliance posture (SOC 2, ISO 27001, BYOK, multi-region). Per-project: pick the ML workspace, the Agent workspace, or both.

What about data security and compliance?

ZenML is designed architecturally in a way that no data flows through the actual ZenML Pro side, but remains inside your own cloud infrastructure behind your VPC. Only metadata is transferred to our servers (names of pipelines, models, statuses, metrics, etc), which we store encrypted at transit and at rest.

We are SOC2 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data.

Please refer to our terms of service and privacy policy for more details.

How does ZenML Pro interface with my internal services?

As no data enters ZenML servers, clients can run most actions with local authentication that interfaces with any internal services and the ZenML server is really only a metadata storage for your pipelines, models, runs etc. ZenML also offers a secure way of communicating with external services using service connectors, which are a really cool way of generating short lived tokens to talk to external services like Kubernetes, Docker registries, Blob storage etc. Read more here.

What are the various deployment scenarios for ZenML Pro?

ZenML Pro deploys the OSS server as a service, which centrally tracks everything related to pipelines, stacks, models, artifacts, etc. This page goes through various deployment scenarios for this deployment.

I am an open source user. Can I transition to the Pro version? What about my data!

Yes! Once you request a demo, we offer a migration service that helps transition your legacy database into your Pro account.

What is the difference between the open-source and Pro product?

ZenML is and always will be open-source at its heart. The core framework is freely available on GitHub and you can run and manage it in-house without using the Pro product. On the other hand, the Pro product offers one of the best experiences to use ZenML, and includes a managed version of the OSS product, including some Pro-only features that create the best collaborative experience for many companies that are scaling their ML efforts.

You can see a more detailed comparison here.

Still not clear? Book a demo →

Unify Your ML and LLM Workflows

Open-source foundation, no vendor lock-in
Works with any infrastructure
Upgrade to managed Pro features

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