Union.ai
Union.aiCommercial AI runtime built on Flyte, deployed into the customer's own cloud rather than hosted by the vendor. It runs the same typed Python workflows Flyte does, adds managed control-plane services around them, and keeps data and models inside the customer's infrastructure.
The commercial product beside Flyte, from the same organization; both are on this map, as ray and anyscale-fine-tuning already are. Verified 2026-09-15 via the Union.ai homepage and pricing page.
Openness
1 high confidence- license
- Proprietary
- service
- proprietary(Union.ai commercial platform, deployed into the customer's cloud)
- source
- closed(no source is published for the Union control plane
Closed on the dimension's own question - whether the source of the product you run is published - rather than on its managed-service example. Union is self-hostable in the sense that it deploys into the customer's cloud, but no source repository exists for the control plane; the open flyteorg/flyte repository is Flyte, scored separately. Deployment location and source availability are different questions, and this dimension asks the second.
- https://www.union.ai/ recorded 2026-09-15
Union.ai's own homepage: 'The durable AI runtime that runs in your cloud, not ours', with zero-trust deployment into the customer's infrastructure. Establishes the deployment model and that no implementation is published.
- https://www.union.ai/pricing recorded 2026-09-15
Union.ai's pricing page, establishing that the product is sold commercially rather than published.
Adoption
not assessedNo usage figure is published for this service specifically, and it publishes no countable artifact - no package, repository or registry entry - so no level is assigned rather than one being inferred from the parent platform.
- https://www.union.ai/ recorded 2026-09-15
Union.ai's homepage, read for a usage disclosure; it names customers but publishes no count of workflows, runs or customers.
Capability
3 medium confidenceBanded at flyte, whose engine it runs. That is the honest placement rather than an independent judgement: under this dimension the two do the same thing, and the commercial control plane around it does not change which component chooses the machine. The Kubernetes scheduler still does.
- https://www.union.ai/ recorded 2026-09-15
Union.ai's homepage describing the runtime and its deployment into the customer's cloud.
- https://www.union.ai/docs/v2/flyte/user-guide/core-concepts/tasks/ recorded 2026-09-15
Flyte's task documentation, hosted by Union.ai, describing the typed task model both products execute.
Verified 2026-09-15