Model Tracking

Easiest Way to Deploy MLflow on Your Data Stack

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What is MLflow?

MLflow is an open-source platform for managing the entire machine learning lifecycle, including experiment tracking, model packaging and deployment, and model management. It is flexible and scalable, and particularly useful for data scientists and organizations wanting to deploy machine learning models in a consistent and reliable way.

Use cases for MLflow

Assess Investment Thesis Fit and Drift Efficiently

Optimize Ticket Pricing with Dynamic Demand Modeling

Predict Property Values with AI Market Analysis

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Why is MLflow better on Shakudo?

Why is MLflow better on Shakudo?

Core Shakudo Features

Secure infrastructure

Deploy Shakudo easily on your VPC, on-premise, or on our managed infrastructure, and use the best data and AI tools the next day.
integrate

Integrate with everything

Empower your team with seamless integration to the most popular data & AI framework and tools they want to use.

Streamlined Workflow

Automate your DevOps completely with Shakudo, so that you can focus on building and launching solutions.

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Ready to see Shakudo in action?

Neal Gilmore