Stop bad data from hurting your AI
Manually inspecting the “garbage in” is painstaking and leads to low performing models. Identify and fix the data that pulls your model performance down in minutes powered by data-centric algorithms for Natural Language ProcessingNatural Language Processing
SOME OF OUR HAPPY CUSTOMERS
All in one place – Your data-centric model performance engine across all your tasks
Quickly inspect and fix your unlabeled data to send the right data to your data annotation team
Annotation Quality Inspection
Uncover mis-annotated data, disagreements and more within minutes
Accelerate model development by inspecting, fixing and tracking the data dragging model performance down.
Proactively identify model failures in production, the data it failed on and fix it.
Why Machine Learning Teams Love Galileo
Improve model performance
Quick model performance gains by fixing the hard to find data that brings model performance down.
Reduce annotation costs
Select the right data to label, auto detect mis-annotated data and bulk label, all in one place – reduce your reliance on expensive and time consuming data labeling tasks.
Reduce Data Scientist Hours Spent
Collaborative data bench to fix and track your models from raw data to production models. No more messy sheets and scripts. Save hours per day per data scientist.
Model Downtimes Detected
Create model and data ‘unit tests’ to proactively know when your model fails in production, and the specific data it failed on.
Integrates in minutes with your existing tools
It only takes minutes to start using Galileo with your existing tools.
Galileo has native integrations for, basically, all your tools!
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 purpose-built for ML teams to build better quality models, faster.