DeployScaleRunAny AI Workload
Write locally, execute remotely with full data lineage, caching, observability & reproducibility.
Infrastructure for AI, ML & Data
For developers managing AI, ML, and data workflows in production, the challenges extend well beyond scheduling and orchestrating DAGs. Union.ai addresses these complexities by offering a comprehensive infrastructure management platform designed for the nuances of such environments.
Union optimizes resources across teams and implements cost-effective strategies that can reduce expenses by up to 66%. Moreover, it's engineered to fit within your own cloud ecosystem, ensuring a robust and tailored infrastructure that scales with your technical demands.


Powerful DAGs, observability & cost-efficient engineering
Union is a fully-managed Flyte platform deployed in your VPC that provides a single-endpoint workflow orchestration and compute service to engineers building data and ML products.
Get built-in dashboards, live-logging, and task-level resource monitoring, enabling users to identify resource bottlenecks and simplifying the debugging process, resulting in optimized infrastructure and faster experimentation.
AI engineering for engineers
Union is an open AI orchestration platform that simplifies AI infrastructure so you can develop, deploy, and innovate faster. Unlike popular—but simple—AI engineering orchestrators, Union wrangles the infrastructure setup and management as well.
Write your code in Python, collaborate across departments, and enjoy full reproducibility and auditability. Union lets you focus on what matters.
Write your Python code locally, execute it remotely
Enjoy the freedom to write Python code that runs both locally and remotely in your Kubernetes cluster. Take advantage of full parallelization and utilization of all Kubernetes nodes without creating Docker files or writing YAML.
Purpose-built for lineage-aware pipeline orchestration
Bring your own Airflow code (BYOAC) and take advantage of modern AI orchestration features—out of the box! Get full reproducibility, audibility, experiment tracking, cross-team task sharing, compile-time error checking, and automatic artifact capture.

We manage the infrastructure so you can build what matters
Union is the AI orchestration and infrastructure platform of choice for many top data and ML teams globally. Esteemed companies such as Woven Planet and AbCellera have transitioned their workflows from Airflow or Kubeflow to Union.
Why?
Union is up to 66 percent more cost-efficient with your compute resources, solves complex infrastructure challenges, and is built for rapid iteration across teams.
Globally trusted & tested
Join our developer community
“To my great surprise, the migration to Flyte™ was as smooth and easy as the development of our initial active learning pipeline in Airflow had been painful: It literally took just a few weeks to revamp our platform’s main pipeline entirely, to the delight of users and developers alike.”

“We're mainly using Flyte™ because of its cloud native capabilities. We do everything in the cloud, and we also don't want to be limited to a single cloud provider. So having the ability to run everything through Kubernetes is amazing for us.”

“As engineers, a lot of this might be table stakes for us. But for data scientists, being able to get [financial analytics] up and running on Flyte™ and getting all of this stuff for free has been a really big win for them.”

“We’re going to have 10,000-plus CPUs that we plan to use every day to process the raw data. There’ll be 30 different targets approximately that we’re collecting data on every day. That’s about 200 GB of raw data and probably 2 TB or so on the output — a lot of data process. We’re leaning heavily on Flyte to make that happen.”

“Versioning, caching and the different domains we can have in Flyte™ prompted us to move from Airflow to Flyte™ because you don’t really need to think about them and they are … available out of the box in Flyte™.”

“Flyte has this concept of immutable transformation — it turns out the executions cannot be deleted, and so having immutable transformation is a really nice abstraction for our data-engineering stack.”

“We're going to have 10,000-plus CPUs that we plan to use every day to process the raw data. There'll be 30 different targets approximately that we're collecting data on every day. That's about 200 GB of raw data and probably 2 TB or so on the output — a lot of data process. We're leaning heavily on Flyte™ to make that happen.”

“Flyte™’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.”

“It’s not an understatement to say that Flyte™ is really a workhorse at Freenome!”
