Own Your AI: Build an Agentic AI Model Factory

​Build a Sovereign AI Factory: an ML Engineer Agent that evaluates, fine-tunes, deploys, and improves open models.

​AI teams are starting to look beyond renting every capability from an external API, they're building systems they own and control. In this hands-on session we'll build exactly that by creating an ML Engineer Agent that will manage a model factory to select and fine-tune the best models for your applications.

​We'll start with a walkthrough where we build an agent that evaluates open models in parallel, fine-tunes promising candidates, deploys the winner, and retrains automatically when performance drops. Think of it as the first brick in your own model factory: a repeatable system for evaluating, improving, and deploying models you control.

​You'll see how Union.ai & Flyte give your AI workflows a durable runtime with infrastructure as context, so agents adapt infra resources, recover from failures, and keep moving without re-running completed work. And because it all runs in your own cloud, you own the full stack end to end: your models, your data, your infrastructure, your IP.