A managed control plane
for AI workflows and agents

ZenML Pro runs both workspaces under one paid product: ZenML for AI workflow orchestration, Kitaru for agent replay and regression testing. Single pane of glass, enterprise governance, no infrastructure setup.

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

  • AXA
  • JetBrains
  • ADEO
  • Leroy Merlin
  • Brevo
  • Safran
  • AECOM
  • Airbus Defence & Space
  • Rohlik
  • Knuspr
  • Maven Robotics
  • CrossScreen Media
  • GEMA
  • Homa Games
  • Koble
  • IKEA
  • Sciemo
  • Vodafone
  • Stepstone
  • Neara
  • Rivian
  • Happening XYZ
  • Veridas

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
Every agent run recorded and replayable. 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.
"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

Florian Pfisterer

ML Engineer, Hema.to

Hema.to
"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

Harold Giménez

SVP R&D at HashiCorp

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

Goku Mohandas

Founder of MadeWithML

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

Richard Socher

Former Chief Scientist Salesforce and Founder of You.com

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

Matt Squire

CTO at Fuzzy Labs

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

Gabriel Martin

Machine Learning Engineer at Frontiers

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!

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.

01.

Guided Onboarding

Get personalized support to write your first AI workflows, ensuring a smooth start with ZenML.

02.

Seamless Infrastructure Setup

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

03.

Production Ready

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

Kitaru workspace dashboard showing a recorded agent execution
Dashboard mockup showing projects organization
Dashboard mockup showing CI/CD showcase
Dashboard mockup showing RBAC and stacks
Dashboard mockup showing onboarding flow

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
SOC 2 Type II BadgeISO/IEC 27001:2022 certification badge

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 AI workflows and data.

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.

01.

Managed control plane

ZenML Pro offers multi-tenant, fully-managed deployments. Workspaces come in two types, ZenML for AI workflow orchestration and Kitaru for agent replay, under the same organization, roles, and billing, with dev, staging, and production servers separated.

02.

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.

03.

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.

04.

Enhanced observability

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

Frequently asked questions

Does ZenML Pro cover the Kitaru agent workspace too?
Yes. ZenML Pro is the paid plane over both sub-products: ZenML for AI workflow orchestration and Kitaru for agent replay and regression testing. Same control plane, same SSO/RBAC/audit, same compliance posture (SOC 2, ISO 27001, BYOK, multi-region). Per-project: pick the ZenML workspace, the Kitaru 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 AI 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