Documentation Index
Fetch the complete documentation index at: https://docs.galileo.ai/llms.txt
Use this file to discover all available pages before exploring further.
Enterprise tier and your own deployment. Luna Studio is part of the
enterprise tier of Galileo and is deployed by Galileo into your own cluster
or cloud. See Availability and deployment, or
contact us to get started.

What you can do
Fine-tune a custom Luna metric
Pick a metric template, supply a test set, generate a training set, and launch a training run — all in a guided flow.
Create synthetic data
Upload a small test set (300 samples) as CSV/JSONL files, fetch from URLs, or import directly from Galileo. Use Luna Studio to upsample that data to 1000s
Track training runs
Filter, star, and compare runs. See queued, training, fine-tuned, and registered runs in one view.
Register custom metrics
Once a new Luna metric is ready, register the resulting metric so it shows up across the Galileo platform.
Who Luna Studio is for
- ML and AI engineers who need evaluation metrics tailored to a specific domain (legal, healthcare, RAG over internal docs, multilingual support, etc.).
- Applied scientists who want to skip the boilerplate of fine-tuning evaluator models.
- Platform teams standardizing how their org evaluates LLM applications across many products.
Start here
Availability and deployment
How Luna Studio is provisioned for your org, and what’s fixed at deployment time.
Quickstart
The fastest path from sign up to a registered metric.
Core concepts
Projects, runs, metrics, test sets, training sets, and how they fit together.
Where to go next
- New to evaluation metrics? Read Core concepts.
- Already have a Galileo account? Jump to the Quickstart.
- Wondering which platforms we support? See Integrations overview.
- Stuck? Check the FAQ and Troubleshooting.