Union.ai

Union.ai: Build, Serve, and Scale Your Compound AI System

Union.ai provides an end-to-end platform to orchestrate AI development lifecycles, enabling teams to construct, deploy, and optimize complex AI systems at scale. It focuses on workflow orchestration, real-time cost optimization, and handling massive unstructured data across heterogeneous environments, with a strong emphasis on security, governance, and repeatable experimentation.

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Overview

• Central platform to design and run AI/ML workflows from data ingestion to model serving.
• Real-time cost observability and scalable infrastructure with features like warm containers and scale-to-zero.
• Seamless integration with popular clouds, models, and frameworks while avoiding vendor lock-in.
• Data governance and security: keep data in your own cloud, simplifying compliance and privacy.

How It Works

1. Define end-to-end AI workflows that span data processing, model training/fine-tuning, validation, and serving.
2. Run orchestrated pipelines with scalable execution engines (e.g., Flyte) and native integrations.
3. Monitor performance, latency, and costs in real time, adjusting resources as needed to optimize efficiency.
4. Manage data lineage, governance, and security across the pipeline, ensuring compliance.

Use Cases & Industries

• Biotech & Bioinformatics
• Generative AI & LLMs
• Data Processing, Inference, GenAI & LLMs

Customer & Case Studies

• Artera leverages Union.ai to power AI-enabled predictive and prognostic cancer tests by interpreting patient data and biopsy slides to assess risk and therapy benefit. Read the customer story.
• Wayve uses Union.ai in conjunction with Flyte for scalable orchestration to accelerate autonomous driving AI development.
• Cradle accelerates ML development for protein design models on the Union.ai platform.
• Porch migrated off Airflow to Union.ai to consolidate data and ML operations, improving efficiency and governance.

Observability, Cost Control, and Governance

• Real-time observability to detect and fix inefficiencies; identify runaway compute costs and optimize usage.
• Data never leaves your cloud, enabling easier security, governance, and compliance.
• Filtered access control, audit trails, and reproducible workflows to support enterprise-grade operations.

Integrations & Flexibility

• Works with the clouds, models, and frameworks you rely on.
• No vendor lock-in; flexible design to adapt to your existing toolchain.
• Support for auto-scaling, smart caching, and local debugging to speed development.

Events & Community

• Educational content, case studies, and community-driven insights to help teams adopt best practices in AI workflow orchestration.

Core Features

• End-to-end AI workflow orchestration from data processing to serving
• Real-time cost observability and optimization (warm containers, scale-to-zero)
• Seamless cloud and framework integrations with no lock-in
• Data governance and security: data stays in your cloud
• Reproducible experiments and lineage tracking
• Auto-scaling, smart caching, and debugging support for developers
• Observability dashboards for performance, costs, and bottlenecks
• Case studies and reference architectures for Biotech, GenAI/LLMs, and more

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How to Use Union.ai (High-Level)

• Define a Compound AI system architecture using reusable components and workflows.
• Connect data sources, models, and deployment targets within a single orchestrated pipeline.
• Deploy, monitor, and optimize in real time to achieve efficient, scalable AI operations.

Safety and Best Practices

• Emphasizes governance, security, and compliance by keeping data within customer-controlled clouds and providing auditable workflows.
• Encourages reproducibility and transparency across teams to reduce production risk.