About Galileo
Galileo is a platform for evaluating, monitoring and protecting generative AI applications and agents. It aims to turn offline tests into checks that run on live traffic.
What it does
Galileo helps teams build evaluation datasets from synthetic data, development runs and live production traces. Expert annotations can be added to ground the evals. The platform includes built-in evaluations for retrieval, agents, safety and security, and custom evaluators can be added for specific domains. Its insights feature looks at agent behavior, identifies likely failure causes and suggests fixes. Some evaluators can be distilled into smaller models that run on all traffic at lower cost.
Key features
- Build evaluation datasets from synthetic and live data
- Built-in evals for RAG, agents and safety
- Turn evals into guardrails for live traffic
- Expert annotations to ground evaluations
- Insights that suggest fixes for agent failures
Who it's for
The platform suits enterprise AI teams, ML engineers and compliance staff who need evidence that their AI behaves well. A small team with a single prototype may find it heavier than it needs.
Pricing and good to know
The site offers a way to get started and a demo request. Enterprise setups are handled through sales. Good results depend on well-labeled data, so a team should plan time for annotation before relying on the scores.
Highlights
- Build evaluation datasets from synthetic and live data
- Built-in evals for RAG, agents and safety
- Turn evals into guardrails for live traffic
- Expert annotations to ground evaluations
- Insights that suggest fixes for agent failures
