


What is Union.ai?
Union.ai is an AI orchestration platform that manages complex AI and ML workflows in production. It unifies data processing, model training, and inference through reproducible workflows while optimizing resource consumption to help ML engineers and data scientists deliver AI applications faster.
What sets Union.ai apart?
Union.ai sets itself apart with its extensive integration ecosystem of agents, which allows ML engineers to connect workflows to external services like Databricks, Snowflake, and ChatGPT without complex setup. This agent-based architecture is valuable for data science teams working across multiple cloud platforms who need to incorporate legacy systems into their AI pipelines. Union.ai brings a unified development experience that bridges the gap between local testing and cloud-scale production for cross-functional engineering teams.
Union.ai Use Cases
- AI workflow orchestration
- ML pipeline automation
- Multi-cloud model deployment
- Cost-efficient GPU training
- MLOps team collaboration
Who uses Union.ai?
Features and Benefits
- Orchestrates complex AI workflows with versioning capabilities that allow tracking of code changes, enabling reproducibility and collaboration across data science teams.
AI Workflow Orchestration
- Controls infrastructure costs with task-specific resource allocation and monitoring, reducing cloud and GPU expenses through efficient resource utilization.
Task-Level Resource Management
- Manages containerized environments automatically, isolating dependencies and configurations for consistent execution across development and production.
Containerized Environments
- Scales workflows across multiple clouds and regions through native Kubernetes support, allowing deployment flexibility while maintaining security compliance.
Multi-Cloud Compatibility
- Connects to external services and platforms through agents, enabling integration with tools like Databricks, Snowflake, BigQuery, and ChatGPT without complex configuration.
Seamless Integration Agents
Union.ai Pros and Cons
Excellent integration capabilities with commonly used tools and platforms
Helpful and responsive customer support team when issues arise
Intuitive interface makes it easy to get started quickly
Real-time collaboration features enhance team productivity
Clean dashboard provides good organization and project overview
Occasional bugs and interface glitches impact reliability
Support response times can be very slow
Limited features in free trial make proper evaluation difficult
Lacks comprehensive documentation and setup guides
Higher pricing compared to similar tools
Pricing
Free Trial$30 free credit
Consumption-based pricing
CPU: $0.12 per Core-Hr
GPU T4: $0.71 per GPU-Hr
GPU A100 (40GB): $4.48 per GPU-Hr
Memory: $0.029 per GB-Hr
Limited to 1 seat
Optimized and expanded Flyte
Pricing TBD
Limited to 1 seat
Scalable serverless environment
Pay only for consumed resources
Optimized and expanded Flyte
Tiered Pricing
Built for enterprises
Customer cloud + VPC
Multi-tenant or single-tenant options
Multiple support tiers
Purchase on AWS, GCP or Azure