ZENML
ZENML
Industry:
Enterprise Software Fraud Detection Image Recognition Information Technology Intelligent Systems Open Source Predictive Analytics Risk Management Software Speech Recognition
Founded:
2021-07-06
Address:
Munich, Bayern, Germany
Country:
Germany
Website Url:
http://www.zenml.io
Total Employee:
11+
Status:
Active
Total Funding:
6.4 M USD
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Current Employees Featured
Hamza Tahir Co-Founder @ ZenML
Co-Founder
2021-01-01
Adam Probst Co-Creator & CEO @ ZenML
Co-Creator & CEO
2021-01-01
Founder
Investors List
Crane Venture Partners
Crane Venture Partners investment in Seed Round - ZenML
Harold Giménez
Harold Giménez investment in Seed Round - ZenML
Luke de Oliveira
Luke de Oliveira investment in Seed Round - ZenML
D. Sculley
D. Sculley investment in Seed Round - ZenML
Point Nine
Point Nine investment in Seed Round - ZenML
Richard
Richard investment in Seed Round - ZenML
Crane Venture Partners
Crane Venture Partners investment in Seed Round - ZenML
Taimur Rashid
Taimur Rashid investment in Seed Round - ZenML
Dirk Hoke
Dirk Hoke investment in Seed Round - ZenML
Nicolas Dessaigne
Nicolas Dessaigne investment in Seed Round - ZenML
Official Site Inspections
http://www.zenml.io Semrush global rank: 2.68 M Semrush visits lastest month: 6.53 K
- Host name: aacb0a264e514dd48.awsglobalaccelerator.com
- IP address: 75.2.70.75
- Location: Seattle United States
- Latitude: 47.54
- Longitude: -122.3032
- Metro Code: 819
- Timezone: America/Los_Angeles
- Postal: 98108

More informations about "ZenML"
ZenML - MLOps framework for infrastructure agnostic ML pipelines
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 …See details»
Setting up Stacks, pipelines and models | ZenML - Bridging the …
A guide on how to organize stacks, pipelines, models, and artifacts in ZenML. A guide on how to organize stacks, pipelines, models, and artifacts in ZenML. 0.71.0. Legacy Docs Bleeding …See details»
ZenML Careers
ZenML’s mission is to accelerate wordwide problem solving by making machine learning simple. Our open-source framework allows data scientists to write their code as automated pipelines from day 1. Our extensible framework also …See details»
GitHub - zenml-io/zenml: ZenML : The bridge between ML and …
Architecting an Enterprise-Grade MLOps Platform - zenml.io
Organization. ZenML Pro. Our managed control plane for MLOps. ZenML vs Other Tools. Compare ZenML to other ML tools. Integrations. 50+ integrations to ease your workflow. ...See details»
Core Concepts | ZenML - Bridging the gap between ML & Ops
In ZenML Pro, there is a slightly different entity hierarchy as compared to the open-source ZenML framework. This document walks you through the key differences and new concepts that are …See details»
ZenML - Crunchbase Company Profile & Funding
ZenML Core Framework: An open-source MLOps framework designed to build, scale, and manage machine learning workflows, ensuring reproducibility and automation. ZenML Cloud: A managed version of the ZenML open-source …See details»
Managed MLOps for your Cloud - ZenML Pro
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 …See details»
ZenML - Why we built it - ZenML Blog
ZenML is built to tackle the ownership dilemma within ML teams. It is designed with higher level abstractions that enable the data scientist to own the pipeline fully until production . The data …See details»
Introduction | ZenML - Bridging the gap between ML & Ops
ZenML is an extensible, open-source MLOps framework for creating portable, production-ready machine learning pipelines. By decoupling infrastructure from code, ZenML enables …See details»
GitHub - zenml-io/zenml-zero-to-hero: A simple end to end guide …
The workflow will run the same training pipeline as in the local setup, but this time it will use a different dataset as input, a remote ZenML server and a cloud ZenML stack. The training …See details»
ZenML - LLMOps Database
Organization. ZenML Pro. Our managed control plane for MLOps. ZenML vs Other Tools. Compare ZenML to other ML tools. Integrations. 50+ integrations to ease your workflow. ...See details»
Access management | ZenML - Bridging the gap between ML & Ops
A guide on managing user roles and responsibilities in ZenML. 0.71.0. Legacy Docs Bleeding Edge 0.71.0. Product. Website Blog Roadmap. Resources. Slack Examples ...See details»
Teams | ZenML - Bridging the gap between ML & Ops
ZenML Pro introduces the concept of Teams to help you manage groups of users efficiently. A team is a collection of users that acts as a single entity within your organization and tenants. …See details»
We're Revving Up ZenML: Exciting News and What It Means for You
Oct 23, 2023 Organization. ZenML Pro. Our managed control plane for MLOps. ZenML vs Other Tools. Compare ZenML to other ML tools. Integrations. 50+ integrations to ease your …See details»
ZenML - Blog
Organization. ZenML Pro. Our managed control plane for MLOps. ZenML vs Other Tools. Compare ZenML to other ML tools. Integrations. 50+ integrations to ease your workflow. ...See details»
ZenML Documentation - docs.zenml.io
Cloud. Features Login Release Notes. ProductSee details»
Project templates | ZenML - Bridging the gap between ML & Ops
The answer is one of ZenML project templates to cover major use cases of ZenML: a collection of steps and pipelines and, to top it all off, a simple but useful CLI. This is exactly what the …See details»
Interact with secrets | ZenML - Bridging the gap between ML & Ops
# Register a secret called `mlflow_secret` with key-value pairs for the # username and password to authenticate with the MLflow tracking server # Using central secrets management zenml …See details»
Best practices for upgrading ZenML | ZenML - docs.zenml.io
Dec 11, 2024 ZenML already has an extensive test suite that we use for releases and you can use it as an example. Artifact Compatibility: Be cautious with pickle-based materializers, as …See details»