⚡Stack Radar

Model Evaluation · Reviewed 22 Oct 2026

Galileo AI

AI observability and evaluation platform for enterprise GenAI applications.

free tier · galileo.ai ↗

Paid against free › Model Evaluation › Galileo AI

Galileo AI at a glance
141KEstimated total trafficModeled monthly visits1.7KRanking keywordsPublic search sample93/100Technical health15 pages checked0Referring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

Galileo is an AI observability and evaluation platform that helps AI teams evaluate, monitor, and protect GenAI applications and agents at enterprise scale S19. It addresses the risk of non-deterministic LLMs by enabling teams to build accurate evals, create guardrail policies, and deploy in flexible environments S1 S19. The platform's practical value is in turning offline evals into production guardrails, helping teams ship reliable AI applications faster S19 S1.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Galileo is an AI observability and evaluation platform S19.
  • Core purpose: It helps AI teams evaluate, monitor, and protect GenAI applications and agents at enterprise scale S19.
  • Intended users: AI teams and developers building and deploying GenAI applications S19.
  • Product scope: A platform that includes evaluation, observability, and guardrail capabilities S19.
  • Positioning: Positioned as the platform where offline evals become production guardrails S19.
  • Claimed distinction: Claims to be built for some of the world's most advanced AI teams S19.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
AI teamsEvaluate and monitor GenAI applications to ensure reliability S19.
DevelopersBuild accurate evals and create guardrail policies S19.
EnterprisesProtect GenAI applications at scale S19.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
EvaluateBuild accurate evals for GenAI applications S19.
MonitorObserve and monitor agent behavior in production S19.
GuardrailCreate guardrail policies to protect against issues like PII leakage and prompt injection S19 S52.
ImproveUse insights from evaluation to improve agent behavior S19.
Deploy flexiblyDeploy the platform in various environments, including cloud and self-hosted S19 S53.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
NVIDIA NeMoIntegrationIntegrates with NVIDIA NeMo to turbo-charge an AI data flywheel S19.
NVIDIA NIMIntegrationEnables real-time observability for systems running on NVIDIA NIM S19.
MongoDB AI Applications ProgramIntegrationGalileo is the first agentic evaluation platform in MongoDB's AI Applications Program S153.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Free Agent Reliability PlatformFree S148Access to platform features S148Not established
EnterpriseContact sales S133Not establishedNot established

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
youtube.com225.5galileo ai, galileo company
designcode.io111galileo ai
linkedin.com112galileo company
slashdot.org113galileo ai
galileo.io113galileo company
g2.com114galileo ai
prnewswire.com114galileo company
devtune.ai115galileo ai
crunchbase.com115galileo company
venturebeat.com116galileo ai

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

Page typeEvidenceSource
customersDocshttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customers[Pricing](../pricing)https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersLoginhttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersGet Started for Freehttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customers](https://app.galileo.ai/sign-up?_gl=1*1pksr5*_gcl_au*NTAzMTM4NjkyLjE3NDU1OTgwMjM.)https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customers](../contact-sales)https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersCase Study: GenAI for 7.7M Customers with Galileohttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersProducts usedhttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersstudent requests handled with confidencehttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersTime-to-markethttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersthrough streamlined prompt optimizationhttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersA world-leading learning company offers digital and physical textbook rentals, online tutoring, and other student services. Primarily aimed at high school and college students, the company looks to enhance academic outcomes and save students money through direct engagement with a wide range of educational resources and tools.https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersWhen the company aimed to develop and launch new generative AI products, they partnered with Galileo. They had two key product initiatives, a chat interface capable of handling up to 10,000 student requests per minute, and an agent-based product to develop personalized learning journeys for students.https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersBefore partnering with Galileo, their team struggled to scale prompt engineering and experimentation. They tried mapping existing prompt libraries to their needs and use cases, however the process of manually and repeatedly testing and refining prompts quickly proved tedious, time-consuming, and error-prone.https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersFurthermore, as a provider of high-quality education to students worldwide, the company needed to manage trust and safety issues at a production scale, including handling PII, preventing prompt injections, and ensuring on-brand responses. However they had yet to adopt observability and monitoring tools due to uncertainties regarding how industry metrics correlated with their internal performance metrics.https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersWith Galileo, their AI team streamlined their LLM development workflow. Using Galileo Evaluate, ML engineers collaborated with product teams to accelerate prompt and system experimentation. Feedback from product managers and subject matter experts was integrated directly through the Galileo UI, allowing rapid iteration of prompts and retrieval mechanisms. They personalized their evaluation framework using both Galileo’s and their own custom evaluation models. These capabilities integrated with the company's action store, designed to orchestrate AI-driven prompts, tools, and skills, enhancing both agent capabilities and user experience.https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customersUsing Galileo’s end-to-end evaluation and observability platform, their team has been able to apply a scalable and consistent evaluation framework across their genAI project lifecycle. For one, they have built confidence in their prompt store and prompt optimization workflows. Their evaluation framework, powered by Galileo and their own evaluation models, coupled with streamlined and collaborative development workflows, has helped the company accelerate development, experimentation, and time-to-market.https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customers"We’re developing proprietary LLMs and AI agents with a very high focus on content quality and accuracy. Galileo’s end-to-end platform has proven instrumental as we work to productionize our next generation of products at global scale."https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customers– AI/ML Tech Leadhttps://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo
customers[‹ Galileo lowers a Fortune 50 CPG's risk associated with monitoring prompts](./galileo-lowers-a-fortune-50-cpg-s-risk-associated-with-monitoring-prompts)https://galileo.ai/case-studies/case-study-genai-for-7-7m-customers-with-galileo

Independent review sources discovered

PlatformStatusDiscovered source
Googlediscovered_not_scrapedhttps://www.google.com/search?udm=50&aep=11&q=As+an+AI+builder%2C+I+want+to+know+how+Galileo%E2%80%99s+AI+observability+and+evaluation+platform+can+help+me+ship+more+reliable+AI+agents+and+applications.+Summarize+the+highlights+from+Galileo%E2%80%99s+website%3A+https%3A%2F%2Fgalileo.ai%2F+and+their+docs+https%3A%2F%2Fv2docs.galileo.ai%2Fwhat-is-galileo
Googlediscovered_not_scrapedhttps://cloud.google.com/speech-to-text/pricing
13

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.4%
MonthSource
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresGalileo's AI observability and evaluation platform empowers AI teams to evaluate, monitor, and protect GenAI applications and agents at enterprise scale.https://galileo.ai/
featuresGalileo is the AI observability and eval engineering platform where offline evals become production guardrails.https://galileo.ai/
featuresYou can't ship when you're flying blind. Start with 20+ out-of-box evals for RAG, agents, safety, and security—then build the custom evaluators to encode your domain expertise. Only Galileo distills expensive LLM-as-judge evaluators into compact Luna models that run with low-latency and low-cost.https://galileo.ai/
featuresDon't use separate systems for offline testing and online safety. Galileo brings unit testing and CI/CD rigor into the AI development lifecycle through the eval-to-guardrail lifecycle. Pre-production evals become production governance. Eval scores automatically control agent actions, tool access, and escalation paths. No glue-code required.https://galileo.ai/
featuresGalileo is built to support the workflows deployed in some of the world's most advanced AI teams. Leverage best practices honed in high\-stakes environments with autotune feedback loops and cutting\-edge data science.https://galileo.ai/
features"Launching AI agents without proper measurement is risky for any organization. This important work Galileo has done gives developers the tools to measure agent behavior, optimize performance, and ensure reliable operations – helping teams move to production faster and with more confidence."https://galileo.ai/
features"The Galileo platform, integrated with NVIDIA NeMo, can turbo-charge an AI data flywheel. Customers can leverage the best datasets and metrics to customize, evaluate and scale their LLMs with confidence, and use NeMo Guardrails within Galileo Protect to build safe, secure and robust solutions. Galileo's real-time observability also instills trust in production by continuously evaluating systems running on top of NVIDIA NIM, sending alerts if something goes wrong or interactions drift from the training data."https://galileo.ai/
featuresDatadog vs. Galileo: Best LLM Monitoring Solutionhttps://galileo.ai/blog/datadog-vs-galileo-choosing-the-best-monitoring-solution-for-llms
featuresAs we move into 2025, LLMs have become integral to businesses, with many enterprises employing some form of generative AI. This widespread adoption underscores the importance of effectively managing and monitoring these models to ensure operational success.https://galileo.ai/blog/datadog-vs-galileo-choosing-the-best-monitoring-solution-for-llms
featuresModel Drift: Continuous tracking is necessary because models can change over time, affecting accuracy. Unmonitored model drift can lead to significant performance degradation within three months of deployment. Fiddler AI's Galileo can address this issue by tracking distribution changes and providing alerts for retraining needs, focusing on detecting virtual data drift and monitoring production data drift to maintain model performance.https://galileo.ai/blog/datadog-vs-galileo-choosing-the-best-monitoring-solution-for-llms
featuresIntroducing Galileo's Agent Reliability Platform: Ship Reliable AI Agentshttps://galileo.ai/blog/galileo-agent-reliability-platform
featuresGalileo Joins MongoDB's AI Applications Program as Their First Agentic Evaluation Platformhttps://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
featuresThat's why we're excited to announce that Galileo has joined MongoDB's AI Applications Program (MAAP) as the first and only Agentic Evaluation Platform in their ecosystem!https://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
features"As our customers deploy AI applications at scale, sophisticated monitoring is needed to build trust and reliability into these systems. Galileo’s platform, as part of the MAAP ecosystem, ensures AI applications and agents built on MongoDB can be deployed with added confidence, thanks to its sophisticated monitoring and evaluation capabilities.” - Abhinav Mehla, VP \- Global Partner GTM Programs, MongoDBhttps://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
featuresMongoDB's MAAP combines the essential components needed for production AI: data management, LLM orchestration, model hosting, and now, with Galileo, comprehensive agent reliability. This isn't just another integration; it's recognition that agentic evaluation is now table stakes for enterprise AI deployment.https://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
featuresMulti-agent observability designed for the complex interaction patterns that define modern AI systemshttps://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
featuresThis isn't about retrofitting traditional monitoring tools for AI; it's purpose-built infrastructure for autonomous systems that need to operate reliably at enterprise scale.https://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
featuresThe future of enterprise AI isn't just about building smarter agents—it's about building agents you can trust. With MongoDB's comprehensive data platform and Galileo's agentic evaluation capabilities, that future is here.https://galileo.ai/blog/galileo-joins-mongodb-s-ai-applications-program-as-their-first-agentic-evaluation-platform
features<table class="framer-text framer-styles-preset-k11v3u"><tbody class="framer-text"><tr class="framer-text"><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78"><strong class="framer-text">Solution</strong></p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78"><strong class="framer-text">Real-Time Support</strong></p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78"><strong class="framer-text">Language Coverage</strong></p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78"><strong class="framer-text">On-Premise Option</strong></p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78"><strong class="framer-text">Pricing Model</strong></p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78"><strong class="framer-text">Best For</strong></p></td></tr><tr class="framer-text"><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Google Cloud STT</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Yes (gRPC only)</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">85+ languages</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Limited (On-Prem, GDC)</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Per-minute, tiered</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Existing GCP workloads</p></td></tr><tr class="framer-text"><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Microsoft Azure AI Speech</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-preset-1stgv78">Yes</p></td><td class="framer-text"><p dir="ltr" class="framer-text framer-styles-https://galileo.ai/blog/top-enterprise-speech-to-text-solutions-for-enterprises
featuresDocshttps://galileo.ai/

These are first-party product claims, not independent measurements of AI-search visibility.

14

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where youtube.com appears.2 first-page appearances across galileo ai, galileo company

Website intelligence — Collected evidence

Website evidence gaps

  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

15

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Product HuntGalileo AI Reviews (2026) / Product HuntGrounded web searchReviews praise Galileo AI for rapidly generating clean mockups and low–medium fidelity wireframes that jump-start projects and help teams hand ideas to developers faster. Users highlight strong text-to-UI and image-to-UI flows, a helpful chat for iteration, and multiple screen outputs, while asking for code export, specs, and deeper style controls. One outlier cites poor value, but most report major time savings and useful guidance for non-designers. Makers of Bex emphasize Galileo’s reliability
G2Galileo AI - AI Marketplace / G2Grounded web searchGalileo AI (usegalileo.ai) is a generative AI platform that converts text prompts and image sketches into editable, high-fidelity UI designs for web and mobile applications. It accelerates early-stage product design by enabling designers, founders, and non-designers to generate polished interface mockups in seconds. The tool supports style customization including fonts, colors, and border-radius, and exports designs to code or Figma for developer handoff. Note: as of 2026, Galileo AI has been fu
RightAIChoiceGalileo AI Pricing & Features (2026) / RightAIChoiceGrounded web search- + Turns a plain-English prompt into a multi-component UI mockup in seconds - + Product Hunt users rate it 4.89★ and it pulled 253 upvotes at launch - + Widely praised for generating initial concept and wireframe ideas fast - + Hands-on commenters said it could meaningfully speed up early design iteration - + Non-designers and PMs can produce presentable screen concepts without Figma ... - − Figma export gives you a rendered mockup, not an editable layer tree - − No offline mode and no self-hos
Product HuntGalileo AI: Generate mobile and desktop interface designs with AI / Product HuntGrounded web searchReviews praise Galileo AI for rapidly generating clean mockups and low–medium fidelity wireframes that jump-start projects and help teams hand ideas to developers faster. Users highlight strong text-to-UI and image-to-UI flows, a helpful chat for iteration, and multiple screen outputs, while asking for code export, specs, and deeper style controls. One outlier cites poor value, but most report major time savings and useful guidance for non-designers. Makers of Bex emphasize Galileo’s reliability
aws.amazon.comAWS Marketplace: Galileo ReviewsGrounded web search### Ratings and reviews 4.4 18 ratings 5 star 4 star 3 star 2 star 1 star 72% 22% 6% 0 AWS reviews / 18 external reviews External reviews are from G2 . ... is a powerful tool for automating design and data tasks. Its intuitive interface and
real-reviews.comGalileo reviews & ratings · Real ReviewsGrounded web searchActive Learning Tools by Galileo 4.6 Weighted by authenticity 54 total reviews Real Reviews 0 Invoice-verified G2 18 4.4 avg Capterra 36 4.8 avg This score combines 0 invoice-verified reviews from real customers on Real Reviews with
toolradar.comGalileo AI Eval Reviews, Pricing & Alternatives (2026)Grounded web search## Ratings Across the Web 4.4(17 reviews) Galileo AI Eval holds an aggregate rating of 4.4 out of 5 from 17 reviews across G2, last checked March 19, 2026. G2 17 reviews 4.4/5 Ratings aggregated from independent review platforms. Learn more
rfp.wikiGalileo AI · Time to Value: Setup & First Wins (2026)Grounded web search/ Source/Feature / Score & Rating / Details & Insights / / --- / --- / --- / / G2 / 4.4 / 17 reviews / / RFP.wiki Score / 3.8 / Review Sites Score Average: 4.4 Features Scores Average: 4.2 / ... set. - The platform is strong for production evals and

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • Galileo AI visibility in LLM Observability Evals & Gateways — AI SDK, Pydantic AI, Mastra, Strands Agents, ... Guardrails and NVIDIA NIM, AWS Marketplace availability, and an MCP Server. SDKs are available in Python and TypeScript ... options span SaaS, Virtual Private Cloud (VPC), and on-premises
  • Don't just monitor AI failures. Stop them. — # Don't just monitor AI failures. Stop them. Galileo is the AI observability and eval engineering platform where offline evals become production guardrails. ... the custom evaluators to encode your domain expertise. Only Galileo distills expensive

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

16

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipCo-founder / CTO, Writersource
Contact and support/ Database Monitoring / Optional add-on. Contact us to learn more. /source
Legal and privacyYou’re reviewing a trace. The context adherence score says true but the response paraphrased the refund policy instead of quoting it. Click the score. Type why it’s wrong. Thirty seconds. You’re back to reviewing.source
Security and complianceData Encryption Methods and Typessource
Uptime and status pageEnsure the resilience and uptime of your critical applications, networks, infrastructure, and business operations. With Splunk Observability Cloud, AppDynamics, IT Service Intelligence (ITSI), and flexible pricing optionsource
Domain registered2020-05-05—
Domain expires2030-05-05—

Every trust signal above is backed by a collected page or a registration record.

17

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
How to Choose an AI Governance Platform / GalileoGuideAn eight-criterion framework for evaluating enterprise AI governance platforms, covering deployment, evals, runtime intervention, and policy management at scale. (source)Not dated
What Is AI Product Management? / GalileoGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. (source)Not dated
AI model Complete Guide: AI Capabilities & Limits / GalileoGuideGuides, comparisons, pricing breakdowns, use cases, and how-to articles. ([source](https://galileo.ai/blog/AI model))Not dated

Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.

Technical

18

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Deploy how you want, including cloud and self-hosted options S19 S53.S19 S53
Platforms and appsWeb-based platform S19.S19
API and extensibility (API, SDK, webhooks, MCP, plugins)Not published on the collected pages.—
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsClaims to be the fastest way to ship reliable AI applications S1.S1
Release activityNot published on the collected pages.—
19

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2020-05-05 — MarkMonitor Inc.
Domain expires2030-05-05
First archived2016-07-10 — web archive
TLS certificateLet's Encrypt, valid, expires 2026-11-23
Security headersHSTS, X-Content-Type-Options
Headers not servedCSP, X-Frame-Options, Referrer-Policy
Server headerFramer/24ab00f
Mail handled byalln-mx-01.cisco.com, rcdn-mx-01.cisco.com
Nameserversadel.ns.cloudflare.com, lloyd.ns.cloudflare.com
20

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 93/100
  • Critical issues: 0
  • Warnings: 15
  • Notices: 18

Issues

SeverityIssueValueAffected URL
noticeMeta description length should be reviewed7https://galileo.ai/
noticeImages are missing alt text24https://galileo.ai/
noticeImages are missing alt text1https://www.splunk.com/en_us/products/pricing.html
warningPage should have one primary H10https://galileo.ai/contact-sales
noticeImages are missing alt text8https://galileo.ai/contact-sales
noticeImages are missing alt text9https://www.splunk.com/en_us/products/agent-observability.html
noticeImages are missing alt text22https://galileo.ai/signals
noticeImages are missing alt text1https://www.splunk.com/en_us/products/guardrails.html
noticeImages are missing alt text20https://galileo.ai/evalengineering
noticeImages are missing alt text9https://www.splunk.com/en_us/products/agent-observability.html
noticeImages are missing alt text1https://www.splunk.com/en_us/products/luna-evaluation-models.html
noticeMeta description length should be reviewed7https://galileo.ai/about
noticeImages are missing alt text9https://galileo.ai/about
noticeMeta description length should be reviewed7https://galileo.ai/responsible-disclosure-program
warningPage should have one primary H10https://galileo.ai/responsible-disclosure-program
noticeImages are missing alt text12https://galileo.ai/case-studies
noticeMeta description length should be reviewed7https://galileo.ai/blog
noticeImages are missing alt text107https://galileo.ai/blog
noticeImages are missing alt text2https://galileo.ai/mastering-rag
warningTitle length should be reviewed66https://galileo.ai/mastering-agents-ebook
noticeImages are missing alt text2https://galileo.ai/mastering-agents-ebook
warningDuplicate title in audit sample4https://galileo.ai/
warningDuplicate title in audit sample4https://galileo.ai/about
warningDuplicate title in audit sample4https://galileo.ai/responsible-disclosure-program
warningDuplicate title in audit sample4https://galileo.ai/blog
warningDuplicate title in audit sample2https://www.splunk.com/en_us/products/agent-observability.html
warningDuplicate title in audit sample2https://www.splunk.com/en_us/products/agent-observability.html
warningDuplicate meta description in audit sample4https://galileo.ai/
warningDuplicate meta description in audit sample4https://galileo.ai/about
warningDuplicate meta description in audit sample4https://galileo.ai/responsible-disclosure-program
warningDuplicate meta description in audit sample4https://galileo.ai/blog
warningDuplicate meta description in audit sample2https://www.splunk.com/en_us/products/agent-observability.html
warningDuplicate meta description in audit sample2https://www.splunk.com/en_us/products/agent-observability.html

Crawled pages

StatusTitleH1sWordsResponseURL
200Galileo AI: The AI Observability and Evaluation Platform1154891 mshttps://galileo.ai/
200Pricing \Splunk12773408 ms
200Book a Demo \Galileo’s AI Reliability & Evaluation Platform057212 ms
200Agent Observability \Splunk11512489 ms
200Galileo Signals: Find Issues with AI192255 mshttps://galileo.ai/signals
200Guardrails Agent Observability \Splunk11483251 ms
200Eval Engineering1525026 mshttps://galileo.ai/evalengineering
200Agent Observability \Splunk11512153 ms
200Luna Evaluation Models Cloud Observability \Splunk11633965 ms
200Galileo AI: The AI Observability and Evaluation Platform11752128 mshttps://galileo.ai/about
200Galileo AI: The AI Observability and Evaluation Platform065599 mshttps://galileo.ai/responsible-disclosure-program
200Galileo Case Studies \Real Results From AI Builders1582136 ms
200Galileo AI: The AI Observability and Evaluation Platform12677151 mshttps://galileo.ai/blog
200Mastering RAG eBook: Build Accurate, Scalable AI with Confidence126447 mshttps://galileo.ai/mastering-rag
200Mastering AI Agents eBook: Build Smart, Safe, and Scalable Systems121235 mshttps://galileo.ai/mastering-agents-ebook

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

21

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct17.2%
search61.2%
search organic61.1%
search paid0.0%
social10.2%
social organic10.2%
social paid0.0%
referrals9.4%
paid referrals0.0%
mail0.6%
gen ai1.4%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

22

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not provide detailed pricing, customer reviews, or comprehensive documentation. The platform's integration with NVIDIA and MongoDB is mentioned, but no specific technical details are provided. The company's acquisition by Cisco is noted, but its impact on the product is not discussed.

23

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from galileo.ai, including the homepage, about page, product pages, and blog posts. The evidence catalog includes 179 entries, but many are from external sources like Splunk and are not directly about Galileo. The report focuses on first-party evidence from Galileo's own pages. External proof search was enabled but did not verify any additional customer claims.

Paid against free, in your inbox

One job at a time: the paid tools worth paying for, the free ones you can run yourself, and who should pick which.

No tracking pixels. One click to leave. We use your address to send Stack Radar and nothing else. Privacy.