A better experience for
Data Scientists

A simple AI/ML modeling tool, Link ensures a smoother flow and a better experience throughout the model development cycle.

Runs on

Link maintains the usability of JupyterLab andminimizes the learning curve of existing users

Trusted by data teams

Pipeline Creation
Caching Management
Powerful Collaborations
Pipeline Creation
You can define relations and execution order of each cell, and build pipelines that include key cells. In addition, you can also edit and manage components consisting of pipelines.
Caching Management
When you execute a component, the result will be cached. When the same cell is executed again, the existing results will be re-used, reducing the operation time. Also, the cached results can be stored and shared to maintain continuity of operations.
Powerful Collaborations
You can save and share execution results(cache data) as well as all or part of the pipelines. Additional features such as adding comments, component grouping, and Python script conversion will make your collaboration more efficient.