
Union
Cloud-native AI/ML workflow orchestration platform built on open-source Flyte.
Pricing
About Union
Union.ai is a workflow orchestration platform for building, deploying, and scaling AI and machine learning pipelines, built on top of the open-source Flyte project. Its defining design choice is that the runtime executes inside the customer's own cloud account across AWS, Azure, or GCP rather than on Union's servers, so data, models, and code never have to leave the customer's infrastructure. Pipelines are authored in plain Python with support for real-time branching, loops, and error handling, and the platform automatically recovers from failures, caches results, and versions runs. It is built to scale to workflows with tens of thousands of parallel actions and reports task startup times under 100 milliseconds. The platform is aimed at engineering and data science teams at larger organizations in sectors like biotech, life sciences, autonomous systems, geospatial analysis, financial services, and media, where data sovereignty and large-scale pipeline orchestration both matter. Flyte itself, the open-source engine underneath Union, is already used in production by companies including Lyft and Spotify. Union.ai offers both self-hosted Flyte for teams that want direct control and a managed Union Cloud offering that takes on reliability, scaling, and upgrades. Pricing for the managed product is not published and requires contacting sales. A practical limitation for smaller teams is that adopting Union means committing to the Flyte workflow model and a Kubernetes-based deployment, which carries real setup overhead compared with lighter-weight pipeline tools.
At a glance
- Company
- Union.ai
- Integrations
- AWS, Azure, GCP
- Last verified
- August 2026
Who It's For
- •AI development teams in enterprises.
- •Data scientists and ML engineers.
- •Organizations managing complex AI workflows.
- •DevOps teams working on ML infrastructure.
How It Works
- 1Union unifies various components of AI development, including data, models, and compute resources.
- 2It orchestrates workflows to automate the training, testing, and deployment of AI models.
- 3Built on Flyte, it leverages workflow automation to manage complex AI processes at scale.
- 4The platform provides optimization tools for real-time cost and resource management.
How to Use Union
- 1Set up your data pipelines and define workflows using Union’s interface or APIs.
- 2Compose and orchestrate AI tasks such as data processing, model training, and inference.
- 3Deploy models into production environments with minimal effort.
- 4Monitor and optimize resource usage and workflow performance in real time.
Key Features
- •Python-native workflow authoring
- •Automatic failure recovery and caching
- •Real-time branching and dynamic workflows
- •Multi-cloud deployment in customer's own cloud
- •Data and model versioning
- •Scales to 50,000+ actions per run
Use Cases
- •Orchestrate large-scale ML training and inference pipelines
- •Run AI workflows within a company's own cloud for data sovereignty
- •Build agentic AI pipelines with automatic error recovery
Pros & Cons
Advantages
- •Unified platform for end-to-end AI workflow management.
- •Built on open-source Flyte, ensuring flexibility and community support.
- •Optimized for performance and resource efficiency.
- •Supports large-scale, complex AI projects.
Disadvantages
- •May have a steep learning curve for new users.
- •Focused primarily on enterprise and large-scale use cases.
- •Requires infrastructure setup and cluster management knowledge.
Alternatives
- Kubeflow
- Airflow
- Prefect
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Frequently Asked Questions
What is Union?
Union. ai is a workflow orchestration platform for building, deploying, and scaling AI and machine learning pipelines, built on top of the open-source Flyte project.
How much does Union cost?
Union has a free plan; paid plans start at $0.03. A free trial is available.
Is Union free?
Yes, Union offers a free plan you can start with.
What are the best Union alternatives?
Popular Union alternatives include Kubeflow, Airflow, Prefect.
What is Union used for?
Union is commonly used for Orchestrate large-scale ML training and inference pipelines, Run AI workflows within a company's own cloud for data sovereignty, Build agentic AI pipelines with automatic error recovery.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.