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πŸ”­ Galileo

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πŸ”­ Galileo
Websiteurl
rungalileo.io
Company typeenum
Private
Founded yearint
2021
Descriptiontext

Galileo is an AI evaluation, observability, and real-time protection platform built for GenAI applications, AI agents, and RAG workflows. The company targets AI/ML engineering teams and enterprise AI builders that need to ship LLM-powered systems into production with measurable reliability, and it is used by named customers spanning enterprise technology (Outshift by Cisco, MongoDB, HP), AI-native companies (Writer, Ema), and financial technology (Clearwater Analytics, Satisfi Labs). Its stated purpose is to bridge the gap between offline AI testing and online production safety, addressing a core blocker in enterprise GenAI deployment.

The platform is organized around the eval-to-guardrail lifecycle. Core modules include Agent Reliability for end-to-end agent measurement, Signals for observability and insights across traces and structured data, Protect for production governance and guardrails, and Eval Engineering for dataset construction and metric tuning. The proprietary Luna-2 family of small language models, launched in 2025, distills expensive LLM-as-judge evaluators into compact models that run at low latency on L4 GPUs and monitor 100% of production traffic at a claimed 96% lower cost than traditional approaches. The platform offers 20+ out-of-box evaluations covering RAG, agents, safety, and security, with custom evaluators for domain-specific use cases, and supports text, structured data, code, and multimodal signals. Strategic integrations include NVIDIA NeMo and NIM (with NeMo Guardrails incorporated into Galileo Protect), HP AI Studio, and CrewAI.

Galileo operates a hybrid go-to-market: a self-serve SaaS model with a free tier for developers, paired with an enterprise sales-assisted motion offering Virtual Private Cloud and On-Premises deployment for buyers with data sovereignty and compliance requirements. Pricing is not publicly disclosed. The company pursues a content-led developer marketing strategy spanning LinkedIn, YouTube, GitHub, X, blogs, ebooks, podcasts, research publications, and a public Agent Leaderboard hosted on Hugging Face. Revenue mechanics, headcount, and funding history are not disclosed in the available source material.

Short descriptiontext

Galileo provides an AI evaluation, observability, and real-time protection platform for GenAI applications, agents, and RAG workflows, serving enterprise AI teams and developers with proprietary Luna-2 small language models and an eval-to-guardrail lifecycle.

Operating statusenum
Operating
Ownership categoryenum
akta.pro rankint
HeadquartersSouth San Francisco, United States
HQ citystring
South San Francisco
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
AI observability platform, LLM evaluation tools, AI agent monitoring, RAG evaluation, AI guardrails
Industry2 codes
1AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety)
CodeHDAEANAFPrimaryYes
2Safety & Alignment Evaluation (red-teaming, harmful capability testing)
CodeHDAAAMALPrimaryNo
NAICS code1 code
  • Navigational, Measuring, Electromedical, and Control Instruments Manufacturing33451
SIC code1 code
  • Services-Testing Laboratories8734
Product category
AI Observability Platform
GTM motion1 record

Each record includes

Type, Description, Source

Marketing channels10 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Galileo provides an AI observability and eval engineering platform that converts offline evaluations into production guardrails for GenAI applications, AI agents, and RAG workflows. It ingests signals (models, prompts, functions, context, datasets, traces), surfaces failure modes via an insights engine, and enforces low-latency guardrails through proprietary Luna-2 small language models distilled from LLM-as-judge evaluators.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • 96% lower cost to monitor 100% of production traffic
+2 more records
Product overview1 text field

Galileo AI is an AI observability and eval engineering platform organized as a unified platform with multiple integrated modules. The core platform includes Agent Reliability for end-to-end agent measurement, Signals for observability and insights ingestion, Luna-2 small language models for cost-efficient evaluation at scale, and Protect for production guardrails. The Eval Engineering module provides methodology support for advanced workflows. Products work together to enable the eval-to-guardrail lifecycle where pre-production evaluations become production governance. The platform supports SaaS, Virtual Private Cloud, and On-Premises deployment options.

Partnership4 partners
Strategic tierCoreTypeTechnology or Integration
Description

Integration with NVIDIA NeMo for AI data flywheel capabilities and NVIDIA NIM for production monitoring. Galileo Protect incorporates NeMo Guardrails. Real-time observability evaluates systems running on NVIDIA NIM, sending alerts for drift or issues.

Strategic tierCoreTypeTechnology or Integration
Description

HP AI Studio integrated with Galileo's technology to enable data scientists to detect and correct hallucinations, drift, and bias. Galileo provides the trust framework capabilities within HP's AI Studio platform.

Strategic tierCoreTypeTechnology or Integration
Description

Strategic partnership enabling CrewAI customers to use Galileo's evaluation technology. CrewAI CEO states partnership helps companies 'move fast and stay reliable' with agents that work at scale in production.

Strategic tierCoreTypeTechnology or Integration
Description

Outshift by Cisco, Cisco's incubation arm for AI, has partnered with Galileo. Cisco SVP states Galileo provides tools to 'measure agent behavior, optimize performance, and ensure reliable operations' for faster production deployment.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

LangSmith provides debugging, testing, evaluation, and monitoring for LLM applications built with LangChain. It overlaps directly with Galileo's evaluation and observability capabilities for GenAI and agent workflows.

TypeEmerging player
Description

Helicone is an emerging LLM observability platform providing logging, tracing, and evaluation for AI applications. It targets overlapping developer personas but with a narrower scope than Galileo's full eval-to-guardrail lifecycle.

TypeEmerging player
Description

Confident AI offers DeepEval, an open-source LLM evaluation framework, and a cloud platform for LLM testing. It competes with Galileo in the evaluation-engine category, particularly with developer-led adoption.

TypeDirect peer
Description

Arize AI is a leading AI observability and evaluation platform for LLMs and agents, offering tracing, evaluation, drift detection, and guardrails. It is the closest direct competitor to Galileo in enterprise AI reliability tooling.

TypeBroad incumbent
Description

Datadog is a broad observability and monitoring platform that has added LLM/AI monitoring capabilities (e.g., LLM Observability, watchdogs for AI applications). It competes indirectly by bundling AI evaluation into a larger observability suite.

TypeDirect peer
Description

WhyLabs offers an AI observability platform with model monitoring, data quality, and LLM evaluation capabilities. It competes with Galileo in production-time monitoring of GenAI and traditional ML systems.

TypeBroad incumbent
Description

Honeycomb provides production observability for modern software systems and is extending into AI/LLM tracing and evaluation. It is an incumbent whose bundled approach could pressure Galileo on enterprise procurement decisions.

TypeDirect peer
Description

Arthur AI delivers an AI observability and governance platform covering LLM performance, evaluation, and guardrails for production deployments. It is a direct functional competitor to Galileo's agent reliability and protect offerings.

TypeDirect peer
Description

Fiddler AI provides an AI observability and explainability platform for LLM and ML model monitoring, performance, and responsible AI. Its scope on production monitoring and guardrails overlaps materially with Galileo's evaluation and Protect modules.

TypeEmerging player
Description

Patronus AI focuses on automated evaluation and safety testing for LLM applications, including hallucination and safety detection. It overlaps with Galileo's safety/security evals and is a comparable emerging player in AI evaluation.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration3 records

Each record includes

Title, Type, Description, Source

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales β†’

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales β†’

πŸ”­ Galileo

AI Observability Platformrungalileo.io

Galileo provides an AI evaluation, observability, and real-time protection platform for GenAI applications, agents, and RAG workflows, serving enterprise AI teams and developers with proprietary Luna-2 small language models and an eval-to-guardrail lifecycle.

What πŸ”­ Galileo does

Galileo is an AI evaluation, observability, and real-time protection platform built for GenAI applications, AI agents, and RAG workflows. The company targets AI/ML engineering teams and enterprise AI builders that need to ship LLM-powered systems into production with measurable reliability, and it is used by named customers spanning enterprise technology (Outshift by Cisco, MongoDB, HP), AI-native companies (Writer, Ema), and financial technology (Clearwater Analytics, Satisfi Labs). Its stated purpose is to bridge the gap between offline AI testing and online production safety, addressing a core blocker in enterprise GenAI deployment.

The platform is organized around the eval-to-guardrail lifecycle. Core modules include Agent Reliability for end-to-end agent measurement, Signals for observability and insights across traces and structured data, Protect for production governance and guardrails, and Eval Engineering for dataset construction and metric tuning. The proprietary Luna-2 family of small language models, launched in 2025, distills expensive LLM-as-judge evaluators into compact models that run at low latency on L4 GPUs and monitor 100% of production traffic at a claimed 96% lower cost than traditional approaches. The platform offers 20+ out-of-box evaluations covering RAG, agents, safety, and security, with custom evaluators for domain-specific use cases, and supports text, structured data, code, and multimodal signals. Strategic integrations include NVIDIA NeMo and NIM (with NeMo Guardrails incorporated into Galileo Protect), HP AI Studio, and CrewAI.

Galileo operates a hybrid go-to-market: a self-serve SaaS model with a free tier for developers, paired with an enterprise sales-assisted motion offering Virtual Private Cloud and On-Premises deployment for buyers with data sovereignty and compliance requirements. Pricing is not publicly disclosed. The company pursues a content-led developer marketing strategy spanning LinkedIn, YouTube, GitHub, X, blogs, ebooks, podcasts, research publications, and a public Agent Leaderboard hosted on Hugging Face. Revenue mechanics, headcount, and funding history are not disclosed in the available source material.

πŸ”­ Galileo firmographics

Firmographics
Name
πŸ”­ Galileo
Website
https://rungalileo.io
Company type
Private
Founded year
2021
Operating status
Operating
Short description
Galileo provides an AI evaluation, observability, and real-time protection platform for GenAI applications, agents, and RAG workflows, serving enterprise AI teams and developers with proprietary Luna-2 small language models and an eval-to-guardrail lifecycle.
Ownership category
akta.pro rank

πŸ”­ Galileo industry classification

Industry
Product category
AI Observability Platform
NAICS
Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451)
SIC
Services-Testing Laboratories (8734)
akta.pro primary industry
AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
akta.pro secondary industry
Safety & Alignment Evaluation (red-teaming, harmful capability testing) (HDAAAMAL)

Keywords

  • AI observability platform
  • LLM evaluation tools
  • AI agent monitoring
  • RAG evaluation
  • AI guardrails

Where πŸ”­ Galileo is headquartered

Location

Headquarters

HQ city
South San Francisco
HQ country
United States
HQ region
North America

Markets served

πŸ”­ Galileo business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Go-to-market motion1 record

Distribution channels4 records

Marketing channels10 records

πŸ”­ Galileo product offering

Product offering

Core offering

Galileo provides an AI observability and eval engineering platform that converts offline evaluations into production guardrails for GenAI applications, AI agents, and RAG workflows. It ingests signals (models, prompts, functions, context, datasets, traces), surfaces failure modes via an insights engine, and enforces low-latency guardrails through proprietary Luna-2 small language models distilled from LLM-as-judge evaluators.

Product overview

Galileo AI is an AI observability and eval engineering platform organized as a unified platform with multiple integrated modules. The core platform includes Agent Reliability for end-to-end agent measurement, Signals for observability and insights ingestion, Luna-2 small language models for cost-efficient evaluation at scale, and Protect for production guardrails. The Eval Engineering module provides methodology support for advanced workflows. Products work together to enable the eval-to-guardrail lifecycle where pre-production evaluations become production governance. The platform supports SaaS, Virtual Private Cloud, and On-Premises deployment options.

Differentiator

Problem solved

Functional benefit

Quantifiable outcome

  • 96% lower cost to monitor 100% of production traffic
  • +2 more outcomes

Companies that use πŸ”­ Galileo

Customer profile

Named customers6 records

Segments1 record

Ideal customer profiles2 records

πŸ”­ Galileo technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability9 records

Feature5 records

πŸ”­ Galileo partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered core.

  • NVIDIAcoreTechnology or IntegrationIntegration with NVIDIA NeMo for AI data flywheel capabilities and NVIDIA NIM for production monitoring. Galileo Protect incorporates NeMo Guardrails. Real-time observability evaluates systems running on NVIDIA NIM, sending alerts for drift or issues.
  • HPcoreTechnology or IntegrationHP AI Studio integrated with Galileo's technology to enable data scientists to detect and correct hallucinations, drift, and bias. Galileo provides the trust framework capabilities within HP's AI Studio platform.
  • CrewAIcoreTechnology or IntegrationStrategic partnership enabling CrewAI customers to use Galileo's evaluation technology. CrewAI CEO states partnership helps companies 'move fast and stay reliable' with agents that work at scale in production.
  • Cisco (Outshift)coreTechnology or IntegrationOutshift by Cisco, Cisco's incubation arm for AI, has partnered with Galileo. Cisco SVP states Galileo provides tools to 'measure agent behavior, optimize performance, and ensure reliable operations' for faster production deployment.

Recent moves6 records

Expansion highlights5 records

πŸ”­ Galileo competitors and assessment

Company assessment

Direct peers

  • LangSmith (LangChain): LangSmith provides debugging, testing, evaluation, and monitoring for LLM applications built with LangChain. It overlaps directly with Galileo's evaluation and observability capabilities for GenAI and agent workflows.
  • Arize AI: Arize AI is a leading AI observability and evaluation platform for LLMs and agents, offering tracing, evaluation, drift detection, and guardrails. It is the closest direct competitor to Galileo in enterprise AI reliability tooling.
  • WhyLabs: WhyLabs offers an AI observability platform with model monitoring, data quality, and LLM evaluation capabilities. It competes with Galileo in production-time monitoring of GenAI and traditional ML systems.
  • Arthur AI: Arthur AI delivers an AI observability and governance platform covering LLM performance, evaluation, and guardrails for production deployments. It is a direct functional competitor to Galileo's agent reliability and protect offerings.
  • Fiddler AI: Fiddler AI provides an AI observability and explainability platform for LLM and ML model monitoring, performance, and responsible AI. Its scope on production monitoring and guardrails overlaps materially with Galileo's evaluation and Protect modules.

Emerging players

  • Helicone: Helicone is an emerging LLM observability platform providing logging, tracing, and evaluation for AI applications. It targets overlapping developer personas but with a narrower scope than Galileo's full eval-to-guardrail lifecycle.
  • Confident AI (DeepEval): Confident AI offers DeepEval, an open-source LLM evaluation framework, and a cloud platform for LLM testing. It competes with Galileo in the evaluation-engine category, particularly with developer-led adoption.
  • Patronus AI: Patronus AI focuses on automated evaluation and safety testing for LLM applications, including hallucination and safety detection. It overlaps with Galileo's safety/security evals and is a comparable emerging player in AI evaluation.

Broad incumbents

  • Datadog: Datadog is a broad observability and monitoring platform that has added LLM/AI monitoring capabilities (e.g., LLM Observability, watchdogs for AI applications). It competes indirectly by bundling AI evaluation into a larger observability suite.
  • Honeycomb: Honeycomb provides production observability for modern software systems and is extending into AI/LLM tracing and evaluation. It is an incumbent whose bundled approach could pressure Galileo on enterprise procurement decisions.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

πŸ”­ Galileo social profiles

Digital presence

πŸ”­ Galileo financial estimates

Financial estimate

Revenue estimate

Valuation estimate

πŸ”­ Galileo leadership team

Management profile

Number of profiles

πŸ”­ Galileo funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales β†’

πŸ”­ Galileo M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales β†’

Frequently asked questions about πŸ”­ Galileo

What does πŸ”­ Galileo do?

Galileo provides an AI observability and eval engineering platform that converts offline evaluations into production guardrails for GenAI applications, AI agents, and RAG workflows. It ingests signals (models, prompts, functions, context, datasets, traces), surfaces failure modes via an insights engine, and enforces low-latency guardrails through proprietary Luna-2 small language models distilled from LLM-as-judge evaluators.

Is πŸ”­ Galileo a public or private company?

πŸ”­ Galileo is a private company. It is classified as venture growth investor backed and is currently operating.

When was πŸ”­ Galileo founded?

πŸ”­ Galileo was founded in 2021.

Where is πŸ”­ Galileo based?

πŸ”­ Galileo is headquartered in South San Francisco, United States, in the North America region.

Who are πŸ”­ Galileo's main competitors?

Direct peers on record are LangSmith (LangChain), Arize AI, WhyLabs, Arthur AI and Fiddler AI. Emerging players are Helicone, Confident AI (DeepEval) and Patronus AI. Broad incumbents are Datadog and Honeycomb.

Does πŸ”­ Galileo have an API?

Yes. Galileo provides MCP server capability as part of its platform for ingesting signals, models, prompts, functions, context, datasets, and traces. The platform includes an MCP server for integration purposes. Developer documentation is at docs.galileo.ai/galileo.

What industry is πŸ”­ Galileo in?

πŸ”­ Galileo's product category is AI Observability Platform. Its primary akta.pro industry code is HDAEANAF, AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety), with a secondary code of HDAAAMAL, Safety & Alignment Evaluation (red-teaming, harmful capability testing). Its NAICS code is 33451 and its SIC code is 8734.

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Live signals
TechTargetAgenticOps for infrastructure faces a deterministic dilemmaEnterprise IT teams are increasingly adopting AI agents for operations, but trust remains a top barrier. A May survey of 330 IT professionals found 59.7% cited trust as the biggest obstacle to autonomous actions. Industry experts expect agentic orchestration to accelerate within 12-18 months as infrastructure scales.GalileoHow AI Accuracy Is Measured: A Practical GuideGalileo published a guide defining AI accuracy and outlining methods to measure it, highlighting the limitations of simple metrics in favor of advanced evaluations like BLEU and BERTScore. The article details technical challenges such as data quality issues, overfitting, and generative AI hallucinations, while promoting its Luna Evaluation Suite as a solution for monitoring and improving model performance.GalileoEthical Considerations in AI SystemsThe article outlines ethical challenges in Retrieval-Augmented Generation (RAG) systems, including bias, misinformation, privacy risks, and security vulnerabilities. It highlights how organizations such as an education company and media firm Magid utilized Galileo's tools to mitigate these issues and ensure compliance. The piece promotes Galileo's platform for providing observability, evaluation, and protection features for AI deployments.GalileoHow AI Agents are Revolutionizing Human InteractionTwilio is leveraging its low-code autonomous agent platform to integrate AI assistants that handle mundane tasks, allowing human employees to focus on complex interpersonal interactions. The company utilizes Galileo's evaluation and monitoring tools to ensure the accuracy and reliability of these AI systems during deployment. This approach positions AI as a collaborative partner rather than a replacement for human workers across various industries.GalileoMaster LLM Observability for Peak AI Performance & SecurityThe article outlines a comprehensive framework for implementing LLM observability, detailing six key steps from architecture design to lifecycle integration. It highlights Galileo as a primary enterprise-grade platform facilitating these monitoring and security processes. The guidance emphasizes balancing technical performance metrics with output quality to mitigate risks like hallucinations and prompt injection.GalileoGalileo AI: The AI Observability and Evaluation PlatformGalileo AI presents itself as an observability and evaluation platform designed to help developers manage the risks associated with non-deterministic Large Language Models (LLMs). The company aims to provide workflows for monitoring, real-time guardrails, and continuous improvement to ensure AI application reliability. Founded in 2021, Galileo leverages the technical backgrounds of its founders from major tech firms like Google and Uber.GalileoBenchmarking Multi-Agent AI: Insights & Practical UseThe article compares seven major standardized benchmarks for evaluating multi-agent AI systems, including MultiAgentBench, BattleAgentBench, and SOTOPIA-Ο€, analyzing their specific focus areas and suitability for different industries. It highlights that these frameworks address the complexities of agent coordination, communication, and social intelligence which single-agent models cannot capture. Galileo is presented as a complementary tool offering real-time monitoring and advanced metrics to evaluate AI agents in real-world production scenarios.Galileo7 Key LLM Metrics to Enhance AI ReliabilityThe article outlines seven key metricsβ€”latency, throughput, perplexity, cross-entropy, token usage, resource utilization, and error ratesβ€”for evaluating the performance of large language models. It emphasizes that these multidimensional measurements are critical for optimizing model quality, managing operational costs, and ensuring reliability in generative AI systems. The guide highlights Galileo as a monitoring tool that provides comprehensive tracking and visualization for these specific metrics.GalileoComparing Multi-Agent Collaboration and CompetitionThe article compares collaborative and competitive multi-agent systems, detailing their distinct objectives, communication patterns, and evaluation metrics in enterprise AI applications. It highlights specific implementations such as Singapore's smart traffic management for collaboration and Goldman Sachs' trading operations for competition to illustrate operational differences. The piece also promotes Galileo as a tool for evaluating the performance of these complex agent interactions.GalileoReal-Time Anomaly Detection for Multi-Agent AI SystemsThe article outlines practical strategies and technical methods for implementing real-time anomaly detection in complex multi-agent AI systems to prevent cascading failures. It details five specific types of anomaliesβ€”behavioral, communication, resource utilization, performance, and emergent behaviorsβ€”and proposes detection frameworks using statistical baselines, machine learning models, and interaction graphs. The piece concludes by highlighting Galileo as a platform providing tools for these monitoring and automated response capabilities.