Ruby.ai revenue, team size, customer count, churn, and more in 2026.

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.