Union.ai

Union.ai is an AI runtime for durable workflows and real-time apps in your own cloud, with Python-native orchestration and usage-based pricing.

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Overview

Union.ai is an AI runtime for orchestrating durable workflows, real-time applications, and compute optimization in a customer-managed cloud environment. The product is positioned around running in your infrastructure rather than Union.ai’s, with orchestration metadata handled by the service and workflow execution staying in your cloud.

The platform is built for teams that want to write dynamic AI and ML workflows in Python, recover from interruptions, and manage scaling across clusters and regions. The pricing page also shows a Team plan with monthly credits and a custom Enterprise plan, while the FAQ and plan comparison point to options for bring-your-own-cloud and self-hosted deployment in Enterprise.

Features

Python-native workflow orchestration

Build dynamic workflows in Python with runtime logic, conditions, retries, and fanout, so complex orchestration stays in code instead of a visual glue layer.

Bring-your-own-cloud deployment

Run workflows and real-time apps in your own cloud while keeping execution data, logs, and secrets inside your infrastructure.

Reusable containers

Reuse containers across short-lived tasks to reduce startup overhead and make fine-grained execution practical at scale.

Workflow durability and recovery

Automatically recover interrupted workflows and continue from where they left off, which is important for long-running or compute-heavy jobs.

Integrated cost tracking and compute optimization

Track and optimize compute use with action-based pricing, resource reporting, and cost-aware workflow execution.

Integrated app serving

Serve real-time applications with Union handling authentication, authorization, auto-scaling, scale-to-zero behavior, and monitoring.

Use Cases

Durable production workflows
Orchestrate long-running AI or ML pipelines that need branching logic, retries, and resumable execution without shifting data out of your cloud.
Real-time AI apps
Build real-time applications that need orchestration plus scaling, authentication, and monitoring in the same platform.
High-concurrency processing
Run compute-heavy jobs with many short-lived tasks and reuse containers to reduce startup overhead during fanout-heavy workloads.
Controlled deployment environments
Deploy in regulated or security-sensitive environments where data must stay in your infrastructure, including self-hosted or airgapped setups on Enterprise.
Compute cost optimization
Track spend on actions and allocated resources while tuning workflows to avoid idle capacity and manage compute more predictably.

Pros and Cons

Pros

Runs workflows in the customer’s cloud rather than moving sensitive data into Union.ai infrastructure.
Supports Python-native orchestration for dynamic logic, retries, fanout, and async patterns.
Includes durability features such as automatic recovery after interruptions.
Provides pricing structure with monthly credits and usage-based billing, which makes the commercial model visible.
Covers both workflow orchestration and app serving, so teams can use one platform for batch and real-time workloads.

Cons

Integration coverage is not listed on the source pages provided, so the supported ecosystem is unclear from this evidence set.
Some deployment and support options, including self-hosted control plane and white-glove support, are only stated for Enterprise plans and are not universally available.

FAQ

How do monthly credits work on the Team plan?

Union.ai uses monthly credits on the Team plan. The monthly fee is issued back as usage credits, so the plan fee becomes the minimum monthly spend and any usage above that is billed separately.

Can Union.ai run in my own cloud?

Yes. The pricing page says Union.ai supports bring-your-own-cloud deployments, including AWS, GCP, Azure, and neo-cloud environments.

Does Union.ai offer a self-hosted deployment option?

Yes. Union.ai says self-hosted control plane deployment is available on an Enterprise plan, including on-prem, hybrid, and airgapped configurations.

How does Union.ai handle data security?

Union.ai says no sensitive data transits its infrastructure. Workflow inputs, outputs, logs, and code bundles stay in your cloud and are served directly from inside your own infrastructure through a secure tunnel.

What pricing options are listed?

The pricing page states that the Team plan starts at $950 per month plus usage, and Enterprise is custom.

Quick Facts

Category: AI infrastructure
Deployment: Bring-your-own-cloud; Enterprise self-hosted control plane available
Primary users: AI, ML, and agent workflow teams
Pricing: Team plan starts at $950/mo plus usage; Enterprise is custom
Data handling: No sensitive data transits Union.ai infrastructure
Source domain: union.ai