Build, serve, and scale your compound AI system

Union.ai powers your AI development lifecycle—orchestrate workflows, optimize costs in real time, and manage massive unstructured data at scale.

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Wayve Accelerates Autonomous Driving Innovation with Flyte’s Scalable Orchestration

Wayve Accelerates Autonomous Driving Innovation with Flyte’s Scalable Orchestration

Wayve is a leading end-to-end Embodied AI developer for assisted and autonomous driving.
Cradle accelerates ML development for its protein design models by using Flyte™

Cradle accelerates ML development for its protein design models by using Flyte™

Cradle is a leader in the relatively nascent but quickly growing field of synthetic biology.
How Porch used Union.ai to migrate off Airflow & consolidate its data & ML operations

How Porch used Union.ai to migrate off Airflow & consolidate its data & ML operations

Porch is a new kind of insurance company on a mission to partner with home service companies to delight homeowners from moving to improving and everything in between.

Most AI fails in production

Yours won’t

Bridge the data-ML gap

Bridge the data-ML gap

Create consistency across teams by unifying data, automating workflows, and tracking data lineage.

Observe and optimize costs

Observe and optimize costs

Union.ai eliminates runaway compute costs with real-time cost observability, warm containers, and scale-to-zero.

Integrate with tools you love

Integrate with tools you love

Union.ai integrates with the clouds, models, and frameworks you rely on. No lock-in, all flexibility.

Speed and design that make devs happy

Speed and design that make devs happy

From auto-scaling to smart caching, from running locally to debugging, Union.ai is built for AI/ML engineers.

Lock down your data

Lock down your data

With Union.ai, your data never has to leave your own cloud, making security, governance, & compliance easy.

Join us at our next event

Upcoming
Fine-tune & Serve LLMs with LoRA & QLoRA for Production - LLMOps Workshop
May 1, 12:00–1:30pm PDT

Fine-tune & Serve LLMs with LoRA & QLoRA for Production - LLMOps Workshop

Training complex AI models at scale requires orchestrating multiple steps into a reproducible workflow and understanding how to optimize resource utilization for efficient fine-tuning.
Upcoming
Build large-scale Xarray datasets for geospatial computing with Union
Apr 8, 9:00–10:00am PDT

Build large-scale Xarray datasets for geospatial computing with Union

We demonstrate the use of Flyte and the Union.ai platform, as a workflow orchestration system for constructing large-scale Xarray mosaics using GDAL’s new GTI driver.
Upcoming
Compound AI systems: unboxing a reference architecture
April 3, 10:00–11:00am PDT

Compound AI systems: unboxing a reference architecture

Modern AI systems are increasingly complex, requiring seamless integration of diverse components, robust governance, and scalable infrastructure.
Brian O’Donovan

“Union.ai’s learning curve’s not terribly steep, but the yield curve is incredible. Once people get the underlying concept, it's incredibly easy and rewarding.”

Brian O’Donovan
Sr Director of Bioinformatics & Computational Biology at Delve Bio

Read more about Union.ai

LLM Observability: A Fireside Chat with John from Arize
Sage Elliott
Sage Elliott
March 6, 2025

LLM Observability: A Fireside Chat with John from Arize

In this fireside chat, we talk with Arize’s Head of Developer Relations John Gilhuly about LLM Observability: Tracing, Evaluations, and Real-Time Insights.
Reproducible Workflows for Compound AI: Reliable and Scalable AI Development
Sage Elliott
Sage Elliott
March 3, 2025

Reproducible Workflows for Compound AI: Reliable and Scalable AI Development

In AI and machine learning, the need for reproducibility is essential for ensuring reliability, transparency, and trustworthiness of models and experiments.
Building Production-Ready Compound AI Applications Just Got a Lot Easier: A RAG Example
Samhita Alla
Samhita Alla
February 24, 2025

Building Production-Ready Compound AI Applications Just Got a Lot Easier: A RAG Example

Imagine if building compound AI apps was as easy as piecing together Legos. At Union, we're abstracting the infrastructure layer to make this a reality.
Breaking the AI Development Bottleneck

Breaking the AI Development Bottleneck

A guide for technical leaders. Get frameworks to evaluate AI tools and learn how leading teams are building the right foundations for AI development.