Introduction

Welcome to the navio documentation!

navio is an MLOps platform that helps you perform various machine learning operations across your organization's entire AI landscape with a focus on productionization. With it, you can take your successful experiments out of the lab and into production and integrate your machine learning models into your business.

Among other things, navio lets you:

• manage users and workspaces, datasets and models
• serve models via deployments — locally or on edge devices
• split traffic between models and shadow candidate models with traffic orchestration
• monitor deployed models for outliers, performance and usage
• label your data and use it to retrain your models

For automated visual quality inspection, check out navio VISION — an anomaly detection solution built on top of the navio platform that lets you train, use and improve inspection models without any machine learning expertise.

If you're looking for instructions on how to set up navio and its components checkout the installation guide.

If you want to create your first model, check out the model creation guide.