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.
Galileo sifts through your unlabeled data to automatically identify error patterns and data gaps in your model.
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.
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!
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You add a few lines of code, we do the rest.
Privacy first. Your data never leaves your environment. Period.
Built with ❤️ by ML researchers, for the ML community.
Built for enterprise-scale and super-fast data inspection.
Galileo is purpose-built for ML teams to build better quality models, faster.