When training datasets for machine learning use cases, it’s essential to stay organized. When building a new model from a dataset, it’s helpful to know what tasks are being processed, their status, and when they started. Doing so allows you to keep track of machine learning model progress and ensure the entire dataset is processed.
With Retool, you can build a task manager for machine learning use cases. You’ll be able to track the progression of datasets, create new tasks, and add context for others — all within a single application.
Software as a Service•Ecommerce•Financial Services
To manage your machine learning datasets, you’ll need to connect to a data store where datasets reside. With Retool, you can connect to dozens of data stores out of the box.
Cloud services deployment manager
Rather than requiring your support team to access and troubleshoot each cloud service individually, you can use Retool to build a deployment management center.
Experiment tracking tool
Build a custom experiment tracking tool to keep tabs on the experiments you run and grow your business faster.
A fast and simple PostgreSQL web IDE
Build on PostgreSQL in half the time with our easy to use web IDE.
Co-founder and CTO at Brex
Retool is incredible. It's been a critical for our ops from the start, and is the reason we’re able to scale so quickly. And the on-prem version with access controls & audit logs makes it easy to meet our compliance requirements.