Sold by: Union.ai
Deployed on AWS
Union.ai is the AI development layer powering mission-critical machine learning and AI systems. Built by the creators of Flyte, Union accelerates AI/ML development with unified orchestration, model training, and real-time inference, all fully managed in your cloud account.
4.5
Overview
Scale Mission-Critical AI Systems with Enterprise-Grade Control
Build and deploy self-healing AI workflows in minutes with dynamic orchestration that intelligently allocates resources, scales automatically, and adapts to workload demands in real-time.
Join a proven ecosystem with enterprise-grade capabilities built on Flyte, the open-source orchestration platform trusted by over 3,000 companies including Woven by Toyota, Artera and Spotify.
Ship models to production faster with integrated model training, versioning, and ultra-low latency inference that handles everything from simple predictions to complex agent processes.
Cut infrastructure costs by up to 90% with reusable containers, scale-to-zero capabilities, and comprehensive cost allocation dashboards that provide complete visibility into compute spending.
Achieve 20x faster development cycles with infrastructure-aware orchestration that empowers data scientists and ML engineers to build models while simplifying infrastructure management for DevOps teams.
Highlights
- Massive Scale Without Compromise Scale workflows to millions of tasks with 1M element fanout, 5K concurrent actions, and multi-cloud execution. Handle model training pipelines, real-time inference systems, feature engineering workflows, and autonomous agent orchestration without infrastructure bottlenecks.
- 20x Faster Development Cycles Accelerate AI development from idea to production with centralized workflow management, simplified debugging, and reusable warm-start containers that eliminate cold start delays and reduce development friction by orders of magnitude.
- Enterprise-Ready from Day One Complete cost visibility with enterprise-grade RBAC, SSO, managed secrets, and governance controls. Bring your own cloud with custom deployment flexibility while maintaining the security standards your organization requires.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Annual Commit | Fee for Union.ai, credit for monthly usage based on tier | $100,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Usage in Union.ai beyond the monthly credit | Extra usage beyond monthly credit based on actions and action-allocated resources | $0.10 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Union.ai
By Dataloop AI/GenAI development platform
By Prefect
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Workflow Orchestration and Scaling
Dynamic orchestration with support for 1M element fanout and 5K concurrent actions enabling massive-scale workflow execution across multi-cloud environments
Model Training and Versioning
Integrated model training capabilities with built-in versioning and ultra-low latency inference supporting simple predictions to complex agent processes
Container-Based Execution
Reusable warm-start containers with scale-to-zero capabilities and automatic resource allocation that reduces cold start delays
Access Control and Governance
Enterprise-grade role-based access control (RBAC), single sign-on (SSO), managed secrets management, and governance controls for security compliance
Cost Optimization and Visibility
Comprehensive cost allocation dashboards providing complete visibility into compute spending with infrastructure-aware orchestration for cost reduction
Generative AI and RAG Pipeline Deployment
Deploy RAG pipelines for GenAI solutions including summarization, chatbots, and data preparation with support for RLHF and RLAIF incorporation.
Unstructured Data Management and Analysis
Explore and analyze unstructured data from diverse sources with automated preprocessing, embeddings generation, and similarity identification capabilities.
Model Versioning and Experimentation
Version, experiment, compare, and fine-tune AI models with production deployment capabilities without requiring external tool integration.
Workflow Orchestration with Drag-and-Drop Interface
Orchestrate data, models, applications, and human feedback using a drag-and-drop interface or Python SDK with pre-created pipeline templates.
Enterprise Security and Compliance
Implement GDPR, ISO 27001, ISO 27701, and SOC 2 Type II compliance with RBAC, SSO, 2FA, AES-256 encryption, and granular audit trail capabilities.
Workflow Orchestration
Orchestrates and automates data workflows with real-time monitoring and execution capabilities across distributed environments.
Real-time Observability
Provides real-time visibility and monitoring across the entire data stack with workflow visualization and performance tracking.
Python-native Development
Enables workflow development directly in Python, allowing developers to build data pipelines using native Python code without requiring domain-specific languages.
ETL/ELT Pipeline Automation
Automates extract, transform, and load operations with real-time monitoring, error recovery, and data integration capabilities.
Security and Governance Framework
Enforces data privacy, security controls, and governance frameworks throughout data workflow execution and management.
Standard contract
No
No
Customer reviews
Md Masudul Hassan
Modern AI workflows have become reproducible and visible for managing complex student projects
Reviewed on May 31, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Union Cloud is to orchestrate machine learning workflows, automated data pipelines, and manage the AI development process across the cloud environment day-to-day.
A specific example of how I use Union Cloud in one of my recent projects is that it has significantly improved the way we manage AI and machine learning workflows, especially in student projects, such as when a student uses it for a research project.
What is most valuable?
Union Cloud helps our team move AI projects from experimentation to production with better reliability and scalability, and it enhances how the students or my team interact with it.
The best features that Union Cloud offers include strong AI and ML workflow orchestration, reliable workflow execution with automatic recovery, and caching, which stand out the most to me.
Union Cloud has positively impacted my organization by providing the ability to manage complex AI workflows while maintaining reliability and reproducibility. Reproducibility is one of the platform's biggest strengths. It also provides strong workflow visibility and debugging capabilities, which helps teams resolve issues quickly.
What needs improvement?
Union Cloud can improve by offering more low-code capabilities for non-technical users and expanded customization options for the workflow monitoring dashboard. I also wish for simplified configuration for smaller teams, as this is an area where the platform can improve.
For how long have I used the solution?
I have been using Union Cloud for more than three months.
What do I think about the stability of the solution?
Union Cloud is definitely stable in my experience.
What do I think about the scalability of the solution?
Regarding Union Cloud's AI capabilities, I believe its scalability is one of its strongest advantages. As workloads grow, the platform can efficiently scale training orchestration and inference processes across the cloud infrastructure, which makes it well-suited for organizations handling large-scale AI and data workloads.
From my understanding, Union Cloud's scalability is approximately nine.
How are customer service and support?
The customer support for Union Cloud, as I discussed with my team, is very positive. The team is knowledgeable, responsive, and focused on helping customers successfully deploy and optimize workflows.
What other advice do I have?
My advice to others looking into using Union Cloud is that it is well-suited for organizations handling large-scale AI or data flows, and also for teams who want to deploy any AI-related project.
Union Cloud is a modern AI orchestration platform that simplifies workflow management, improves stability, and accelerates the path from experimentation to production. I would rate this solution a nine out of ten.