Ruby

RUBY.

Creating training data

should not be this hard

With Ruby it is simple,

fast and fun for everyone

Solution

A single destination for data labeling, data management, and data science. Let us manage all your data work in one place so you can focus on building AI.

1. Upload Sample Dataset

Upload a CSV, JSON or send us links to your S3 bucket. We are looking for a minimum of a thousand random sample cases to review.

2. Submit Instructions

Submit sample annotations or examples based on a guide to begin training our models. No need to think about corner cases in advance.

3. Test Run

Ruby will analyze the sample dataset to see what techniques to use for optimal performance and maximum accuracy.

4. Review & Set Deadline

Review the sample results based on Ruby’s first run and set a deadline.

5. Launch Project

After all parameters are set and workflows are finalized, you’re ready to launch the project.

6. Download Labeled Dataset

Once project is complete, you’ll be able to download the dataset and use immediately for training models.

Ready to get started? Upload

Benefits

Fast and Scalable

Cost Effective

Turnkey Solution

Using ML to Increase Performance

Historical Learning from Inconsistent Annotations Across Datasets

Experience in Retail, Security, and Automotive

Team

Our team has worked on some of the most advanced projects in machine learning and data science over the last decade. We strongly believe that every company will need to invest in automation in order to stay competitive. Today, one of the biggest bottlenecks is the collection of labeled data and finding the resources to produce consistent work for training. We’ve all been on teams where a labeling tool, and a team doesn’t get the job done fast enough at scale. That’s why we created Ruby. We’re the first tool on the market to use historical training data, machine learning, and a custom built labeling solution to optimize performance and cost.