Galileo

What it does

Galileo is an AI observability and evaluation platform for LLM and agentic applications. It takes in traces, datasets, prompts, models, and expert annotations, and produces evaluation scores, failure analysis, and runtime guardrails. Evaluations can use LLM-as-judge metrics, which can be distilled into compact Luna models for low-latency monitoring of production traffic.

Teams log traces with Python and TypeScript SDKs or an API, run experiments, and apply out-of-box evals for RAG, agents, safety, and security, or build custom evaluators. Its distinctive idea is carrying eval logic from development into production, where scores can drive guardrail policies that control agent actions, tool access, and escalation paths.

It suits engineers, product managers, and subject matter experts building LLM or agentic applications who need systematic evaluation and monitoring. Access starts with a sign-up, and deployment can be SaaS, virtual private cloud, or on-premises. Galileo-specific plan pricing is not published on its pricing page, so buyers should confirm costs directly.

What it can do

• Log and trace LLM and agent applications with Python and TypeScript SDKs
• Run 20+ out-of-box evals for RAG, agents, safety, and security
• Build custom evaluators tuned from live feedback
• Distill LLM-as-judge evaluators into Luna models for low-latency monitoring
• Turn eval scores into runtime guardrail policies

Works with

• Python SDK
• TypeScript SDK
• MCP server

Before you choose

• The Galileo pricing link leads to a Splunk pricing page; confirm Galileo-specific pricing and whether Galileo products are now offered through Splunk.
• Additional Luna tokens and extended data retention are described as available beyond the listed entitlements; verify limits and costs before deployment.
• Evaluate deployment choice (SaaS, VPC, or on-premises) against data governance requirements.

Listed under

• Coding
• DevOps and observability
• Agent monitoring
• AI observability
• Developers
• Enterprise
• Guardrails
• LLM evaluation

Get started

Sign-up link is available; the docs guide users to log a first trace.

1. Create an account at app.galileo.ai/sign-up.
2. Install the Python or TypeScript SDK and log your first trace following the docs.
3. Run an experiment or evaluate traces to define metrics before adding guardrails.

The shared pricing page lists Splunk Agent Observability from $100 per month per 1.2 million spans, billed annually, including 500 million Luna tokens per year. Confirm whether this applies to Galileo before purchase.

We couldn’t find published prices for Galileo. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Galileo AI: The AI Observability and Evaluation Platform ↗galileo.ai
• What Is Galileo? - Galileo ↗v2docs.galileo.ai
• Pricing | Splunk ↗galileo.ai

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galileo.ai: product, pricing and policy pages

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.