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Galileo

Evaluation intelligence and observability platform for GenAI apps and agents

llm-observability#llm-evaluation#observability#guardrails#genai-metrics
Free plan Free trial Claimed API Self-hosted Teams

About Galileo

Galileo is a GenAI evaluation and observability platform using purpose-built Luna models to deliver 20+ quality metrics with low latency, plus production monitoring and guardrails, with free, $100/month Pro, and enterprise plans.

Galileo provides 'evaluation intelligence' for generative AI: a managed platform to measure output quality, monitor production behavior, and enforce runtime guardrails. Rather than relying solely on a large model to grade outputs, Galileo uses its own purpose-built Luna evaluation models, with the Luna-2 generation delivering 20+ metrics — including groundedness, completeness, correctness, and toxicity — at sub-200ms latency and lower cost than LLM-as-judge approaches. The platform spans the lifecycle: offline evaluation and experimentation during development, production observability with tracing, and guardrails that can block or flag risky outputs at runtime. A polished console ties these together with minimal setup, making it accessible to teams that don't want to build evaluation infrastructure themselves. Galileo was founded in 2021 by ex-Google and Apple engineers and has raised roughly $68M, with customers including HP, Twilio, Reddit, and Comcast. As of 2026 it offers a Free plan (5,000 traces/month, unlimited users and custom evals, no RBAC or advanced analytics), a $100/month Pro plan, and enterprise plans that add self-hosting and advanced controls.

TL;DR

Galileo is a GenAI evaluation and observability platform using purpose-built Luna models for fast, research-backed quality metrics, plus monitoring and guardrails, with free, $100/month Pro, and enterprise tiers.

Company overview

Galileo was founded in 2021 by ex-Google and Apple engineers to bring rigorous evaluation to generative AI. It has raised roughly $68M and counts HP, Twilio, Reddit, and Comcast among its customers.

The company differentiates with its own Luna evaluation models rather than relying on general LLMs for grading, delivering faster and cheaper quality measurement across development and production.

Product features

Galileo spans offline evaluation, production observability with tracing, and runtime guardrails in one polished console. Luna-2 models produce 20+ metrics — groundedness, completeness, correctness, toxicity — at sub-200ms latency.

Teams instrument apps via SDKs or OpenTelemetry, run custom and built-in evals, monitor production behavior, and enforce guardrails, with enterprise self-hosting for data control.

Target market

Galileo targets teams and enterprises building and operating GenAI applications and agents that need reliable evaluation, production monitoring, and safety guardrails.

Buyer personas

End users

AI engineers and data scientists evaluating and monitoring GenAI apps.

Buyers

Engineering and AI leaders investing in evaluation and observability.

Key influencers

ML practitioners and quality/compliance stakeholders.

Ideal customer profile

Organizations shipping production GenAI who need rigorous, low-latency evaluation, monitoring, and guardrails, optionally self-hosted.

Funding & performance

Founded 2021; raised approximately $68M to date. Verify the latest funding details via public sources or the vendor.

Pros & cons

Pros

  • Purpose-built Luna evaluation models (fast, cheaper than LLM-judge)
  • 20+ research-backed metrics
  • Covers evaluation, observability, and guardrails
  • Polished console with minimal setup
  • Free plan with 5,000 traces/month
  • Enterprise self-hosting available

Cons

  • Pro at $100/month may be steep for small teams
  • Free plan lacks RBAC and advanced analytics
  • Managed platform hosts your evaluation data (unless enterprise self-host)
  • Text/GenAI-focused
  • Advanced features gated to higher tiers

Pricing plans

Free
$0 / month
  • 5,000 traces/month
  • Unlimited users
  • Unlimited custom evals
  • No RBAC or advanced analytics
Pro
$100 / month
  • Higher trace volume
  • Luna evaluation metrics
  • Production observability
  • Guardrails
Enterprise
Custom
  • Self-hosting option
  • RBAC and advanced analytics
  • SSO and governance
  • Dedicated support

Key features

API
Team collaboration
Self-hosted
Integrations
OpenAI, Anthropic, LangChain, LlamaIndex, OpenTelemetry
Input types
text
Output types
text
Best For
GenAI evaluation, production observability, runtime guardrails

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API
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Frequently asked questions

What does Galileo do?+

Galileo is an LLM evaluation and observability platform for testing, monitoring, and guardrailing GenAI apps and agents, using purpose-built Luna models to score output quality.

What are Luna models?+

Luna models are Galileo's purpose-built evaluation models; the Luna-2 generation delivers 20+ metrics like groundedness and correctness at sub-200ms latency, cheaper than LLM-as-judge.

Is there a free plan?+

Yes. The Free plan includes 5,000 traces per month, unlimited users, and unlimited custom evals, but omits RBAC, advanced analytics, and dedicated support.

How much is Galileo Pro?+

As of 2026, Pro is $100/month, with enterprise plans adding self-hosting and advanced controls.

Can Galileo enforce guardrails?+

Yes. Galileo offers runtime guardrails that can flag or block risky outputs in production, alongside evaluation and observability.

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