Tool overview
Galileo AI is listed under Design AI tools.
What is Galileo AI?
Galileo helps AI teams evaluate, monitor, debug, and improve generative AI applications and agents. It supports offline evaluations, production guardrails, log streams, experiments, integrations with LLM providers, and APIs for teams building reliable AI systems.
Best for
AI engineering teams LLM application teams ML platform teams Enterprise AI governance AI product teams
Who is it for?
Key features
AI observability
Offline evaluations
Production guardrails
LLM monitoring
Log streams
Experiments
Integrations with LLM providers
API access
Model/app evaluation workflows
Enterprise monitoring
Use cases
Evaluating LLM applications before release
Monitoring AI agents in production
Debugging prompts and responses
Tracking quality and safety metrics
Building guardrails for GenAI apps
Comparing model/provider performance
Pros
- Purpose-built for GenAI evaluation and observability strong API/developer
- documentation Supports integrations with major LLM providers
- Useful for enterprise AI reliability workflows
Cons
- Not a UI design generator despite the historical Galileo AI name confusion May require technical AI engineering setup Pricing may be sales-led for larger teams
Limitations
Not a general chatbot or design tool Requires AI app traces/evaluation data for value
Not open source
Pricing details
Supported languages
English documentation
evaluates multilingual LLM outputs depending on configuration
Integrations
OpenAI
Anthropic/Claude-compatible workflows
Mistral
NVIDIA
Vertex AI
Writer
Databricks
Custom LLM/app integrations
API
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