“The reality for my team is that we often get more performance from fixing data than we do from tuning models. Galileo provides a wonderfully useful toolset for quickly and painlessly cleaning our training data.”

"Today's ML teams are mostly fixing issues with the ML data. This consumes most of their time, is slow, manual, hard and lacks dedicated tooling. Galileo finally provides that tooling."

“Galileo solves the most time consuming and error prone aspect of any iterative ML model development – finding the data blindspots before they blow up in production. Galileo provides immediate visibility and never before seen intelligent insights that flips a labor intensive duplicative process to a low effort methodical workflow for ML practitioners”

“Today, 80% of ML teams' time is spent on data. Most teams lack the right tooling for handling, debugging, and programming large scale datasets, especially for unstructured data. The tooling from Galileo are very promising for solving the problem for ML teams. You have to try it out for yourself!”

"Galileo's an insightful tool that helps understand how unstructured data contributes to the performance of a model. This helps ML engineers massively speed up their training iterations in their journey of improving model performance, in a guided and interactive way."

"The best way to improve your ML model's accuracy is almost always to fix problems in your training data, but traditionally that's been a slow, manual, and frustrating process. With Galileo's tools you can find and fix dataset problems quickly and easily, and I highly recommend them to any ML professional."