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Galileo AI Review

Galileo AI is an AI observability and eval engineering platform that turns offline evaluations into production guardrails for GenAI applications and agents.

shipped Jul 3, 2026aifreemium
ai
Galileo AI — product screenshot

Why it matters

1Offers a freemium pricing model with a free tier available.
2Provides a developer API and public documentation at https://docs.galileo.ai/galileo.
3Leverages proprietary Luna-2 models for AI evaluation, achieving 0.95 accuracy with 152ms latency.
4Holds ISO 27001 and SOC 2 Type II certifications, with HIPAA-compliant infrastructure.

About Galileo AI

Business Model
Subscription SaaS
Usage Pricing
$0.0733 per eval
Platforms
Web, SaaS
Target Audience
Enterprises and developers building AI systems.

Pricing Plans

Pricing Tier 1
$0.0733 / per-unit
  • • Evaluate agent behavior
  • • Production guardrails
  • • Auto-tunes metrics
  • • Custom evaluators

Cost Examples

  • • 1 eval: ~$0.0733

Leadership

Waseem AlshikhCo-founder | CTO
Vijoy PandeySVP, Outshift by Cisco
Surojit ChatterjeeCEO and Co-founder, Ema
Santiago PomboGroup Product Manager, NVIDIA
Randall NewmanChief Product Officer | Co-founder, Satisfi Labs
Mikiko ChandrasekharStaff Developer Advocate, MongoDB
João MouraCEO and Co-founder, CrewAI
Jim NottinghamSVP, Advanced Compute Solutions, HP
Alex KlugHead of Product, Data Science & AI, HP
API DocsGitHub

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 eval engineering platform developed by Galileo AI that enables AI teams, enterprise developers, and data scientists to evaluate, monitor, and protect GenAI applications and agents. It delivers enterprise-grade agent monitoring with purpose-built evaluation models (Luna-2) and runtime protection, focusing on debugging complex production failures. The platform is designed to help developers build, ship, and scale reliable LLM-based applications by observing and measuring behavior, evaluating models against benchmarks, surfacing insights, and mitigating issues such as hallucination, drift, and bias. It is important to note that this platform is distinct from a generative AI tool for UI design also known as Galileo AI, which was acquired by Google in mid-2025 and integrated into Google Stitch AI.

features

Key Features of Galileo AI

Galileo AI provides a comprehensive suite of features for the evaluation, monitoring, and protection of generative AI applications and agents, emphasizing real-time performance and compliance.

  • Capture groundtruth data for robust evaluation datasets.
  • Build accurate evaluations using over 20 built-in metrics for RAG quality, agent reliability, safety, and security.
  • Run evaluations at scale with proprietary Luna-2 models, fine-tuned Llama 3B and 8B variants, for cost-effective, real-time monitoring.
  • Automatic tuning of LLM-as-a-judge metrics via Autotune, allowing natural language feedback to correct metric outputs.
  • Visibility into complex agent behavior, including multi-turn conversation evaluation with session metrics like Action Completion and Conversation Quality.
  • Detect and correct hallucinations, drift, and bias in AI systems through continuous monitoring.
  • Identify failure modes, surface hidden patterns, and prescribe fixes for agent behavior.
  • Turn offline evaluation metrics into real-time production guardrails to ensure consistent quality.
  • Agent Control for enterprise customers to define guardrails and manage agent governance, blocking harmful content and PII leakage.

use cases

Who Should Use Galileo AI?

Galileo AI is primarily designed for technical teams and enterprises engaged in the development and deployment of generative AI applications and agents, requiring robust evaluation and monitoring capabilities.

  • AI teams: To evaluate, monitor, and protect GenAI applications and agents at enterprise scale, ensuring reliability and performance.
  • Enterprise developers: For assessing, monitoring, and securing large language models and agentic AI systems in production environments.
  • Data scientists: To detect and correct hallucinations, drift, and bias in AI systems, identify failure modes, and prescribe fixes for agent behavior.
  • Organizations requiring compliance: Companies needing HIPAA-compliant infrastructure, Business Associate Agreements (BAAs), and ISO 27001/SOC 2 Type II certified platforms for their AI deployments.

how to use

How to Use Galileo AI

Utilizing Galileo AI involves integrating its SDK into GenAI applications to capture data, define evaluation metrics, and deploy real-time guardrails for continuous monitoring and protection.

  • 1Integrate the Galileo AI Python SDK into your generative AI application or agent.
  • 2Define and capture groundtruth data to establish benchmarks for evaluation.
  • 3Configure and run offline evaluation experiments using built-in metrics or custom evaluations.
  • 4Deploy selected evaluation metrics as real-time production guardrails to monitor live traffic.
  • 5Monitor agent behavior and production failures through the platform's dashboards, leveraging Luna-2 models for insights.
  • 6Utilize Autotune to refine LLM-as-a-judge metrics by providing natural language feedback on metric outputs.

pricing

Galileo AI Pricing & Plans

Galileo AI operates on a freemium model, offering a free tier for initial use and a usage-based plan for scaling. The platform's pricing is structured to accommodate both development and production needs for GenAI applications.

  • Free Tier: Available for developers, providing access to core evaluation and monitoring capabilities.
  • Usage-based: Priced at $0.0733 per evaluation, designed for scaling production monitoring and agent reliability features.

Pros

  • +Leverages proprietary Luna-2 models for high-accuracy (0.95) and low-latency (152ms) AI evaluation, enabling real-time monitoring of 100% of production traffic.
  • +Offers a comprehensive agent reliability platform with specific metrics for autonomous, multi-step AI agents, addressing complex failure modes.
  • +Enables the conversion of offline evaluation metrics into real-time production guardrails, ensuring consistent quality from development to deployment.
  • +Provides enterprise-grade compliance, including ISO 27001 and SOC 2 Type II certifications, with HIPAA-compliant infrastructure and Business Associate Agreements (BAAs).
  • +Includes an Autotune feature that improves LLM-as-a-judge metric performance by allowing users to provide natural language feedback.
  • +Demonstrated significant market traction with 834% revenue growth since early 2024 and adoption by six Fortune 50 companies.

Cons

  • −Users have reported a potential learning curve for navigating more complex projects within the platform.
  • −Some feedback indicates occasional difficulty in locating specific features, which may necessitate seeking support.
  • −The proprietary nature of the Luna-2 models might offer less transparency compared to open-source evaluation frameworks for some users.
  • −Primarily focused on GenAI applications and agents, potentially offering less breadth for traditional machine learning model monitoring compared to broader AI observability platforms.
  • −The existence of a former UI design tool also named Galileo AI (now Google Stitch AI) can lead to initial confusion regarding the product's identity.

Policies

Free Tier

Vendor website advertises a free tier.

Pricing Page

View Pricing→

Similar Tools

Galileo AI vs Competitors

Galileo AI competes in the AI observability and evaluation space with several platforms, each offering distinct advantages and architectural approaches.

1
LangSmithOn StorkCompare

LangSmith is a complete AI agent and LLM observability platform with tracing and real-time monitoring, deeply integrated into the LangChain ecosystem.

Similar to Galileo AI in providing observability and evaluation for GenAI applications and agents, LangSmith offers tight integration with the LangChain framework, while Galileo AI emphasizes its proprietary Luna-2 models for real-time protection and automated metrics.

2
BraintrustOn StorkCompare

Braintrust is an end-to-end platform that uniquely integrates evaluation directly into agent observability, offering comprehensive trace capture, automated scoring, and CI/CD quality gates.

Braintrust provides a full AI quality lifecycle, akin to Galileo AI's eval-to-guardrail approach, but it distinguishes itself with an evaluation-first architecture and CI/CD quality gates that can block deployments based on quality regressions.

3
LangfuseOn StorkCompare

Langfuse is an open-source, engineering-centric LLM observability platform offering flexibility, data control, deep observability, evaluations, and prompt management.

While both provide observability and evaluation, Langfuse is open-source and prioritizes flexibility and data control, contrasting with Galileo AI's proprietary, all-in-one platform with opinionated guardrail evaluators.

4
Arize AIOn StorkCompare

Arize AI specializes in AI observability with advanced capabilities for monitoring ML and LLM systems in production, including embedding clustering and drift detection.

Arize AI focuses on comprehensive monitoring of ML and LLM systems with sophisticated drift detection, whereas Galileo AI emphasizes turning offline evaluations into real-time production guardrails for GenAI agents using its purpose-built evaluation models.

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