No more data detective work.
Models can be opaque in understanding what data they didn’t perform well on and why. Galileo provides a host of tools for ML teams to inspect and find ML data errors 10x faster.
Production data is ever changing. Make your models adapt.
Galileo sifts through your unlabeled data to automatically identify error patterns and data gaps in your model.
Track, compare and share your data and model changes over time
We get it -- ML experimentation is messy. It needs a lot of data and model changes across many runs. Track and compare your runs in one place and quickly share reports with your team.
Built for actionability.
Galileo has been built to integrate with your ML ecosystem. Send a fixed dataset to your data store to retrain, send mislabeled data to your labelers, share a collaborative report, and a lot more!
Fixing your ML data is critical
Ask the experts
“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."
Galileo is built with ML teams in mind
Seamless integration into your workflows
You add a few lines of code, we do the rest.
Designed for data privacy
Privacy first. Your data never leaves your environment. Period.
Powered by cutting edge data-centric ML research
Built with ❤️ by ML researchers, for the ML community.
Scalable and fast
Built for enterprise-scale and super-fast data inspection.
Learn what Galileo can do for you.
Galileo is purpose-built for ML teams to build better quality models, faster.