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SlateIndex

ZenML

New

AI orchestration, on the infra you choose

MLOps PlatformsMunich, Germany11–50 employeesFounded 2021

Visibility score
6%
New vs last week
Weekly run · Nov 2

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

  • ZenML ranks #14 of 61 in MLOps Platforms with an AI visibility score of 6 (SlateIndex, Nov 2, 2026).
  • ZenML is most visible on ChatGPT (11.7) and least on Perplexity (0).
  • AI engines name ZenML in 10 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
  • mlflow.org is the source AI engines cite most in answers about ZenML, with 10 citations.

About

Company details for ZenML

ZenML is open-source software that runs training, batch inference, evals and agent workflows as reproducible Python pipelines on Kubernetes, Vertex AI, SageMaker, AzureML or a laptop. Kitaru, its Apache 2.0 open-source core, imports traces from tools such as Langfuse and LangSmith, surfaces insights across sessions, turns findings into checks and replays fixes. ZenML's hosted AI engineer reads agent traces next to existing evals and flags those that are wrong or missing. It ranks #14 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 6 in the latest weekly run.

Founded in 2021 and headquartered in Munich, Germany, the company employs 11–50 people. It has raised about $6M. Its differentiator: open-source pipelines and agents run on the infrastructure you choose, without rewriting the code.

Website
zenml.io
Categories
MLOps Platforms
Company size
11–50 employees
Headquarters
Munich, Germany
Founded
2021
Company type
Private, venture-backed
Funding
Seed extension · $6M raised
Pricing
Free; paid from $39 / mo · flat tiers
Free trial
Free plan available
Deployment
Self-hosted open source, or ZenML's cloud. Enterprise runs on-prem or air-gapped in the customer's cloud, with data and compute staying in the customer's VPC.
Platforms
Kubernetes, Vertex AI, SageMaker, AzureML, Laptop
Integrations
66+ native
Compliance
SOC 2 Type II, ISO 27001
Support
Community Slack, Email, Dedicated support with SLA on Enterprise, Workshops and architecture reviews on Enterprise

Read from linkedin.com, zenml.io, github.com, munich-startup.de, prnewswire.com, tracxn.com · refreshed Nov 2, 2026.

AI visibility

Latest weekly run · Nov 2 · next run Nov 9

Visibility score
6%
across MLOps Platforms answers, weighted by position
ChatGPT11.7%
AI Mode6.3%
Perplexity0%
Change
New
vs last week’s run
Category rank
#14 of 61
in MLOps Platforms
Mentions
11
in this week’s run
Share of voice
1.5%
of AI mentions in MLOps Platforms

Visibility score trend

Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.

Now6%
30-day change—
High · low6% · 6%
Rank#14
0%25%50%75%100%Nov 2ZenML 6%

Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.

Media

Website and product screenshots for ZenML

All media

AI mentions & citations

Recent answers that name ZenML

All prompts

Products & features

What ZenML sells

ZenML

Open-source framework that runs training, batch inference, evals and agent workflows as reproducible Python pipelines on your own infrastructure.

Kitaru

Open-source core (Apache 2.0) that imports agent traces, surfaces insights across sessions, turns findings into checks and replays fixes.

AI engineer

Hosted service on top of Kitaru that reads production traces next to existing evals, flags missing or wrong evals and drafts new checks.

Strengths engines cite

  • Free and fully transparent open-source option
  • Open-source and Kubernetes-native MLOps tool
  • Recommended starting point for MLOps lifecycle coverage
  • Among the strongest MLOps platform alternatives

Target market & buyers

Data scientists, ML engineers and MLOps developers who build and run ML and AI systems in production.

Notable customers include JetBrains, ADEO Leroy Merlin, Brevo, Cross Screen Media, Zuiver.ai.

Funding & recent developments

Funding

RoundYearAmount
Seed2021$3M
Seed extension2023—
Latest known roundTotal raised
Seed extension$6M

Recent developments

  1. Oct 2026ProductZenML 0.98.0 released

    Version 0.98.0 of the ZenML package was released.

  2. Sep 2026ProductKubernetes multi-pod step execution and webhook-triggered pipeline automation

    Release notes for September 2026 list Kubernetes multi-pod step execution and webhook-triggered pipeline automation.

  3. Jul 2026SecurityCVE-2026-11876 missing-authorization flaw

    A missing-authorization flaw in version 0.94.2 lets authenticated users enumerate stacks across tenants in multi-tenant ZenML Pro and Cloud deployments. A fix is in a later patch.

  4. Jun 2026ProductZenML 0.95.0 adds sandbox abstraction

    The 0.95.0 changelog added a sandbox abstraction and Kubernetes and Modal backend support.

Competitive landscape

How ZenML compares with its top three alternatives

All alternatives

ZenML most often appears alongside MLflow, Weights & Biases, Databricks in AI answers.

BrandVisibilityShare of voicevs last weekStarting price
ZenML6%1.5%NewFree plan
MLflow50.9%9.7%NewPricing not available
Weights & Biases29.7%7%NewPricing not available
Databricks46.2%7.6%NewPricing not available
Amazon SageMaker AI44.4%8%NewPricing not available

What AI answers say

Sentiment and themes from the answers that mention this brand

Reviews

Positive 55% · Neutral 45% · Mixed 0% of 11 engine answers that mention ZenML

Praised for

  • Free and fully transparent open-source option
  • Open-source and Kubernetes-native MLOps tool
  • Recommended starting point for MLOps lifecycle coverage
  • Among the strongest MLOps platform alternatives

Criticised for

    Pricing

    Flat tiers pricing with a free plan

    Full pricing
    Open Source$0self-hosted
    Starter$39month
    EnterpriseCustomcustom

    Cite as: SlateIndex, “ZenML AI visibility profile”, https://slateindex.ai/brand/zenml, data of Nov 2, 2026. Licence: CC BY 4.0.