Galileo
Eval-to-guardrail platform with low-cost Luna judge models for production AI monitoring.
What is Galileo?
Galileo is an AI evaluation and observability platform that converts offline LLM evals into runtime guardrails for production agents and RAG. It is bought by enterprise AI teams that need to monitor 100% of agent traffic without paying full LLM-as-judge prices on every call. Differentiator: proprietary Luna small models distill judge logic for low-cost, low-latency eval at scale.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Blocking hallucinations in production RAG responses in real time
Running automated evals on 20+ built-in metrics across agents
Controlling agent tool access based on eval scores
Identifying failure patterns in agent behavior at scale
Fit to evaluate
Enterprise AI teams deploying agents at production scale
Companies needing runtime guardrails, not just batch evals
RAG teams shipping customer-facing chatbots
Regulated industries requiring VPC or on-prem eval
Business fit
Right for you if you have agents in production and need to block bad outputs in real time, not just review them after the fact. Skip if you only run a handful of LLM calls per day, since cheaper open-source evals will cover you. Pricing scales with traces, so volume customers should model carefully. The 5,000 free traces let you validate before committing.
How to evaluate Galileo
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Galileo to one concrete workflow first, such as blocking hallucinations in production rag responses in real time. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Shortlist Galileo against Orgo, Browser Use, Browserbase so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Free: $0/mo, 5,000 traces/month, unlimited users and custom evals. Pro: $100/mo (billed yearly, 33% savings), 50,000 traces, RBAC, Slack support; scales with trace volume. Enterprise: custom pricing, unlimited traces, VPC/on-prem, real-time guardrails, 24/7 support. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Galileo with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Blocking hallucinations in production RAG responses in real time, Running automated evals on 20+ built-in metrics across agents |
|---|---|
| Best-fit team | Enterprise AI teams deploying agents at production scale, Companies needing runtime guardrails, not just batch evals |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Free plan + paid plans |
| Closest alternatives | OrgoBrowser UseBrowserbaseHyperbrowser |
Galileo pricing
| Model | Free plan + paid plans |
|---|---|
| Snapshot | Free: $0/mo, 5,000 traces/month, unlimited users and custom evals. Pro: $100/mo (billed yearly, 33% savings), 50,000 traces, RBAC, Slack support; scales with trace volume. Enterprise: custom pricing, unlimited traces, VPC/on-prem, real-time guardrails, 24/7 support. |
| Checked |
Common questions about Galileo
What is Galileo?
Galileo is an AI evaluation and observability platform that converts offline LLM evals into runtime guardrails for production agents and RAG. It is bought by enterprise AI teams that need to monitor 100% of agent traffic without paying full LLM-as-judge prices on every call. Differentiator: proprietary Luna small models distill judge logic for low-cost, low-latency eval at scale.
What is Galileo used for?
Common use cases: Blocking hallucinations in production RAG responses in real time; Running automated evals on 20+ built-in metrics across agents; Controlling agent tool access based on eval scores; Identifying failure patterns in agent behavior at scale.
How much does Galileo cost?
Free: $0/mo, 5,000 traces/month, unlimited users and custom evals. Pro: $100/mo (billed yearly, 33% savings), 50,000 traces, RBAC, Slack support; scales with trace volume. Enterprise: custom pricing, unlimited traces, VPC/on-prem, real-time guardrails, 24/7 support.
Who is Galileo best for?
Galileo fits Enterprise AI teams deploying agents at production scale, Companies needing runtime guardrails, not just batch evals, RAG teams shipping customer-facing chatbots, Regulated industries requiring VPC or on-prem eval. Right for you if you have agents in production and need to block bad outputs in real time, not just review them after the fact. Skip if you only run a handful of LLM calls per day, since cheaper open-source evals will cover you. Pricing scales with traces, so volume customers should model carefully. The 5,000 free traces let you validate before committing.
What are alternatives to Galileo?
Common alternatives to Galileo include Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, Anchor Browser.