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ZenML
ZenML develops an open-source MLOps framework for building, managing, and deploying reproducible machine-learning pipelines across different infrastructure and tooling. It serves data scientists, ML engineers, and organizations operationalizing machine-learning workflows in production.
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ZenML at a glance
ZenML is a developer tools company headquartered in United Kingdom, founded in 2024. It has raised at least $6.4M across the 2 funding rounds on record. Its most recent funding round, Seed, raised $3.7M in October 2023.
ZenML funding rounds
At least $6.4M raised across the 2 rounds on record. Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| Seed | $3.7M | 5 named | |
| Seed | $2.7M | 6 named |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Investors
ZenML competitors
A few of ZenML's closest competitors — see the full list of competitors and alternatives →
BentoML provides an open-source model serving framework and inference platform designed to help teams build and deploy AI applications.
Mlop provides an open-source MLOps platform designed for machine learning teams to track, optimize, and collaborate on experiments. The platform offers tools for real-time experiment tracking, model performance monitoring, reproducibility management, and team alerting.
ClearML is an Israeli artificial intelligence company that develops an open-source platform for managing machine learning and AI workflows, including experiment tracking, data and model management, orchestration, and deployment. It serves data scientists, ML engineers, and organizations building and operating AI systems.
MLflow is an open-source AI engineering platform designed to manage the machine learning lifecycle, including experiment tracking, model deployment, and LLMOps workflows.
Iterative.ai develops open-source and commercial tools for machine-learning and data-science workflows, including Data Version Control (DVC), Studio, and Continuous Machine Learning (CML). It serves data scientists and ML engineering teams that need to version datasets and models, track experiments, and collaborate on reproducible projects.
Tecton provides a data platform and feature store for machine learning, helping teams define, compute, manage, and serve production ML features. It serves data science, machine learning, and engineering teams at companies deploying real-time and batch machine-learning applications.
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More on ZenML in Xcout Intel
- 2 funding rounds with the investors in each, and who they co-invest with
- The full competitor set, tracking, exports and API access