Introducing
Bring your data, AI and teams together
Union Cloud unifies data and machine learning pipelines, people and processes while reducing compute cost and time to value. Union Cloud is a hosted version of Flyte™, an open-source solution backed by a vibrant user community and used in production by more than 30 companies in the Fortune 100.
Effortless and efficient
Union Cloud is the infinitely scalable workflow platform that is resource optimized. With caching, task-aware resourcing and more, Union Cloud is the most efficient cloud-native fabric for the entire data and ML stack.

Converge data and AI pipelines and systems
Traditional data-science and AI platforms aren’t built for dynamic business demands. Union Cloud’s data and AI platform supports hybrid and multicloud data ecosystems. It’s a fabric for rapid data, AI and analytics development and deployment — at any scale.
Ensure reliability, reusability and repeatability
Union Cloud is powered by Flyte™, a Kubernetes-native orchestrator that’s helping organizations like Spotify and Lyft build a new generation of products that make elegant use of complex data and machine learning workflows while reducing technology duplication.
Union Cloud is powered by Flyte™
See what the community has to say about it
To develop excellent products, leading companies must coordinate complex workflows that integrate data, analytics and machine learning. Whether they use their own infrastructure or host on Union Cloud, these organizations choose Flyte™-based solutions over Airflow, Kubeflow and other orchestrators.
Stay on top of your data and AI pipelines
Union Cloud is a cloud-native platform that provides the infrastructure and tools you need to manage and optimize data and ML workflows at any scale. It provides valuable insights into performance, behavior and compliance of your pipelines, making it easier to debug issues, optimize performance and ensure that the workflows are operating as expected.
AI needs constant maintenance
Making AI products work means retraining and processing vast amounts of data — over and over again. That can be time-consuming and computationally expensive. When teams can analyze and monitor workflows proactively, they make make better data-driven decisions, achieve faster execution times, optimize resource allocation and arrive at better outcomes.
Union Cloud’s detailed metrics on performance resources make it easier to identify bottlenecks and optimize pipeline performance.
AI is a
team sport
From start to finish, AI projects are multidisciplinary. They require data scientists, domain experts, and machine learning and infrastructure engineers. To succeed, AI teams must work together and align goals, processes and tooling.
Union Cloud provides a centralized platform for teams to coordinate and collaborate through a standard workflow definition, versioning, task reusability, access controls and an extensible plugin system.
AI at scale
is complex
Scaling AI into production-level systems introduces a level of complexity that can feel impossible to navigate.
Union Cloud empowers organizations to scale their infrastructure, data processing, applications — even their organization. By integrating with scalable technologies (such as Spark and Ray), supporting collaborative workflows and providing granular and custom access controls, your team can scale their operations without sacrificing efficiency or performance.
The data and AI platform for faster product innovation
Union Cloud is a hosted version of Flyte™, managed by Flyte™’s creators.
Empower business, not bloated processes
As your growing data and ML pipelines require more computing power, your workflow orchestration platform must keep pace. Union Cloud is designed to scale, so you won’t have to worry about constant monitoring and maintenance. With Union Cloud, you can easily handle changing workloads and resource requirements, so your data and ML workflows always have the resources they need to succeed.
Use resources only when you need them
Kubernetes-native Union Cloud’s advanced resource management for large-scale data processing and AI workloads includes automatic resource allocation, automatic scaling and self-healing. Precisely adjust resources within your code — either during runtime or with real-time resource calculations — without modifying the underlying infrastructure. Optimize resources seamlessly, and enhance the overall efficiency of your system.
Keep your cloud options open
Union Cloud lets you package applications as containers and deploy them to your preferred cloud environments (like AWS or GCP) and even on-premise data centers. Deploying cloud-agnostic AI and data pipelines ensures workflows run in the best environment for the specific workload.
Accelerate your business
According to Gartner’s 2021 AI in Organizations Survey, organizations take an average of 7.3 months to move an AI initiative from prototype to production, and 47% of organizations take more than six months on average. Union Cloud reduces up to 90% of boilerplate code and delivers data, AI and analytics faster than any other platform.
Don’t just take our word for it
Infinome Biosciences cut pipeline runtimes by 98%. MethaneSAT swiftly crunches 2 terabytes of data across 10,000 CPUs. ZipRecruiter cut its orchestration code by two-thirds. Learn how companies like yours use Union Cloud’s Flyte™ engine to achieve their business goals.
Home of workflow orchestration for data and ML at scale.