Skip to content
Stork.AIstork.ai
AI Tool

Galileo AI Review

Galileo AI is an AI observability and evaluation platform that converts offline evaluations into real-time production guardrails for Large Language Models and AI agents.

shipped Jul 23, 2026freemium
Domain rating57
Galileo AI — product screenshot

Why it matters

1Acquired by Cisco on May 22, 2026, and integrated into Splunk Observability.
2Utilizes proprietary Luna-2 Small Language Models (SLMs) for up to 97% cost reduction in production monitoring.
3Raised $45 million in Series B funding in October 2024, totaling $68.1 million.
4Achieved 834% revenue growth since early 2024 and quadrupled enterprise customer count.

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

overview

What is Galileo AI?

Galileo AI is an AI observability and evaluation platform developed by Galileo that enables enterprises to assess, debug, and safeguard generative AI applications and agents throughout their lifecycle. It specializes in real-time LLM evaluation and production monitoring, offering lightweight live-traffic safety checks and hallucination detection. The platform provides a comprehensive system for ensuring the reliability and performance of AI agents through advanced evaluation, monitoring, and automated failure detection. Galileo AI was acquired by Cisco on May 22, 2026, and is being integrated into Cisco's Splunk Observability portfolio.

features

Key Features of Galileo AI

Galileo AI provides a robust set of features designed for comprehensive AI evaluation, observability, and real-time protection. These capabilities ensure the reliability and performance of Large Language Models (LLMs) and AI agents from development to production.

  • AI observability and evaluation platform for LLMs and AI agents.
  • Converts offline evaluations into real-time production guardrails.
  • Utilizes proprietary Luna models for consistent, cost-effective, and fast evaluation.
  • Provides real-time LLM evaluation and production monitoring, including lightweight live-traffic safety checks.
  • Offers hallucination detection and automated failure detection.
  • Enables building datasets from synthetic, development, and live production data.
  • Auto-tunes metrics from live feedback and distills expensive LLM-as-judge evaluators into compact Luna models.
  • Supports RAG Evals, Agent Evals, Safety Evals, Security Evals, and Custom Evals.
  • Features Agent Control for blocking bad outcomes and steering agents without code changes.
  • Includes Luna Studio for fine-tuning low-latency, cost-effective SLM metrics for enterprise customers.

use cases

Who Should Use Galileo AI?

Galileo AI is designed for enterprises and development teams focused on deploying and managing reliable, safe, and high-performing generative AI applications and agents. Its capabilities address critical needs across the AI development and operations lifecycle.

  • AI Developers & Engineers: For debugging AI agent behavior, identifying failure modes, and bringing unit testing and CI/CD rigor into the AI development lifecycle.
  • MLOps Teams: For real-time LLM evaluation, production monitoring, and ensuring the reliability and performance of AI agents in live environments.
  • Enterprise AI Teams: For customizing, evaluating, and scaling LLMs with confidence, detecting and correcting hallucinations, drift, and bias in data, and proactively stopping AI failures.
  • Data Scientists & Researchers: For building and executing golden test sets, comparing different models and prompts, and leveraging over 20 pre-built evaluators or creating custom ones.
  • Product Managers for AI Products: For ensuring the safety and quality of AI-powered features through real-time protection and automated failure detection.

how to use

How to Use Galileo AI

Galileo AI provides a structured workflow for evaluating, monitoring, and safeguarding AI applications. Users can begin by integrating their LLM applications and configuring evaluation metrics.

  • 1Integrate LLM Applications: Connect your generative AI applications and agents to the Galileo AI platform.
  • 2Define Evaluation Metrics: Utilize pre-built evaluators or create custom, code-based, or LLM-as-a-judge evaluators for specific use cases.
  • 3Build Test Sets: Generate datasets from synthetic, development, or live production data for comprehensive testing.
  • 4Run Offline Evaluations: Conduct evaluations to assess model performance, debug outputs, and identify potential failure modes.
  • 5Implement Real-time Guardrails: Deploy Luna models for live-traffic safety checks, hallucination detection, and automated failure detection in production.
  • 6Monitor Production Performance: Track model behavior over time, identify issues like drift and bias, and leverage agentic observability for multi-agent systems.

pricing

Galileo AI Pricing & Plans

Galileo AI operates on a freemium model, offering a free tier for developers to access core functionalities, particularly for its agent reliability platform. Specific details for paid enterprise tiers are typically provided upon consultation.

  • Freemium: Free access for developers, including agentic observability, evaluation, and guardrail capabilities.

Pros

  • +Proprietary Luna models offer up to 97% cost reduction for production monitoring and enable real-time protection.
  • +Comprehensive suite for AI evaluation, observability, and real-time guardrails for LLMs and AI agents.
  • +Specialized features for multi-agent AI systems, addressing complex failure modes with agentic observability.
  • +Integration into Cisco's Splunk Observability portfolio provides enterprise-grade stability and reach.
  • +Supports over 20 pre-built evaluators and allows for custom, code-based, or LLM-as-a-judge evaluators.
  • +Autotune feature enhances Continuous Learning via Human Feedback (CLHF) for metric adaptation.

Cons

  • −Some users report a learning curve for new users, potentially requiring time to master the platform.
  • −Reliance on proprietary Luna models may limit flexibility for teams preferring open-source or custom model integration.
  • −Specific pricing details for advanced enterprise features are not publicly transparent, requiring direct consultation.
  • −While comprehensive, the platform's opinionated approach to guardrails might not suit all highly customized enterprise environments.

Policies

Pricing Page

View Pricing→

Similar Tools

Galileo AI vs Competitors

Galileo AI differentiates itself in the AI observability and evaluation market through its proprietary Luna models, real-time production guardrails, and specialized focus on AI agent reliability. This positions it against several key players with varying approaches.

1
LangfuseOn Stork

Langfuse is an open-source, engineering-centric platform providing deep observability and flexible evaluation for LLM applications.

Unlike Galileo AI's proprietary, all-in-one approach with Luna models and opinionated guardrails, Langfuse offers an open-source solution emphasizing flexibility, data control, and unopinionated workflows for engineering teams.

2
Arize AI (Phoenix)On Stork

Arize AI, with its open-source Phoenix platform, provides LLM observability with strong OpenTelemetry and OpenInference adherence, focusing on drift detection and comprehensive evaluation.

While both offer LLM evaluation and monitoring, Galileo AI specializes in real-time production guardrails and proprietary Luna models for automated intervention, whereas Arize Phoenix is open-source and emphasizes OTLP-first telemetry and OpenInference for interoperability.

3
Braintrust↗

Braintrust is a comprehensive AI observability platform that covers the full AI quality lifecycle, from evaluation and tracing to release gates and production feedback in one system.

Both Braintrust and Galileo AI offer end-to-end AI quality solutions. However, Galileo AI specifically leverages its proprietary Luna models for real-time evaluation and intervention with built-in guardrails, while Braintrust integrates CI/CD quality gates and an AI agent for prompt optimization.

4
Comet (Opik)On Stork

Comet's Opik platform provides comprehensive LLM evaluation and observability, extending experiment tracking with LLM-specific capabilities, automated LLM-as-a-judge metrics, and production guardrails.

Similar to Galileo AI, Opik offers real-time monitoring and production guardrails, including PII redaction and topic blocking. However, Galileo AI highlights its proprietary Luna models for consistent and fast evaluation, while Opik integrates with a broader range of LLM frameworks and focuses on end-to-end testing.

See every Galileo AI alternative, compared→

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

GPT WatermarkerSurroundersLifeOS AIWulver: Daily Workout StreaksGenifyPlanPulse
Visit Galileo AI↗
Connect
𝕏
X / Twitterx.com/rungalileo
⌘
GitHubgithub.com/rungalileo
in
LinkedInwww.linkedin.com/company/galileo-ai