Sold by: Union.ai
Deployed on AWS
Union.ai scales mission-critical AI and ML systems with dynamic workflow orchestration, real-time inference, and enterprise-grade control. Achieve 20x faster development cycles and cut pipeline costs by up to 90% for production AI workloads.
Overview
Scale Mission-Critical AI Systems with Enterprise-Grade Control
Build and deploy 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 |
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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.
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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
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AI generated from product descriptions
Workflow Orchestration and Scaling
Dynamic orchestration platform capable of scaling to millions of tasks with 1M element fanout and 5K concurrent actions across multi-cloud environments
Real-Time Inference Engine
Ultra-low latency inference system supporting simple predictions to complex agent processes with integrated model training and versioning capabilities
Resource Allocation and Auto-Scaling
Intelligent resource allocation with automatic scaling, scale-to-zero capabilities, and real-time adaptation to workload demands
Access Control and Governance
Enterprise-grade role-based access control (RBAC), single sign-on (SSO), managed secrets management, and governance controls
Cost Optimization and Visibility
Comprehensive cost allocation dashboards providing complete visibility into compute spending with reusable containers for infrastructure 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.
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