🎉 The Hallucination Index is here!
Trusted by Data Science Teams at
Accelerate Prompt Engineering
Stop managing prompt runs in notebooks and spreadsheets. Instead take a metric-driven approach and build prompts that just work.
Monitor LLM Outputs in Real-Time
Rather than reacting when its too late, proactively detect hallucinations in production and instantly drive effective root-cause analysis.
Designed for Data Scientists
The LLM field changes quickly. Galileo is designed to easily connect with your LLM development stack.
Use Galileo wherever you work
Built for the Enterprise
Keep your data and your customers safe. Galileo has been designed to help organizations of any size deploy safe and trustworthy AI applications.
Deployed in your private cloud so your data never leaves
Adhere to compliance frameworks, risk mitigation checks and company policies
SOC2 Compliant. HIPAA coming soon!
Leaders and data scientists love Galileo
“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.”
Head of conversational AI, Square
"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."
There is a strong need for an evaluation toolchain across prompting, fine-tuning and production monitoring to proactively mitigate hallucinations. Galileo's LLM Studio offers exactly that toolchain. Highly recommend it to all LLM builders!
Co-founder and CTO
“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”
Director of ML, Buzzfeed
“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!”
Senior Engineering Manager, Google AI
"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."
Co-creator of Tensorflow
"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."
Senior Eng Manager, Uber AI (Co-creator of Michelangelo)
Ready to get started?