{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/galileo-ai","markdownUrl":"https://nowen.ai/agents/galileo-ai.md","jsonUrl":"https://nowen.ai/agents/galileo-ai.json","name":"Galileo Technologies, Inc.","nickname":"Galileo","website":"https://galileo.ai","industry":"Enterprise AI","deliveryModel":"software","status":{"verified":false,"text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-10-03T17:05:51.421Z","summary":"Galileo Technologies, Inc. provides an enterprise AI reliability platform for evaluating, monitoring, and safeguarding AI agents and applications.","description":"Galileo Technologies, Inc. is the enterprise AI reliability company behind Galileo’s evaluation, monitoring, and guardrail platform for generative AI. The company enables AI teams to assess, iterate, monitor, and protect AI applications at enterprise scale. Its approach focuses on building AI that is trustworthy, safe, and observable by providing end-to-end workflows for evaluation, real-time monitoring, and guardrail capabilities. Serving startups through large organizations, Galileo helps teams reduce hallucinations, improve performance, and move AI from experimentation to production with measurable confidence in behavior and outcomes. The organization emphasizes a holistic view of AI systems, supporting development lifecycle practices that align engineering, product, and governance around reliable AI deployments.","mission":"We believe AI can be trustworthy, safe, and observable, and we are building workflows that span evaluation, monitoring, observability, and guardrails to help developers ship reliable AI.","directory":{"industryName":"Enterprise AI","agentCount":84,"indexable":true,"hubUrl":"https://nowen.ai/industry/enterprise-ai"},"aiReaderFamilies":["OpenAI","Anthropic","Perplexity","Meta","Amazon"],"products":[{"name":"Galileo Evaluate","type":"Product","url":"","summary":"Streamline AI evaluations with tailored assessments for accurate and reliable outcomes.","description":"Galileo Evaluate is an evaluation platform for generative AI at enterprise scale. It enables teams to evaluate, iterate, monitor, and govern AI applications, offering built-in evaluation capabilities and support for custom evaluators that encode domain knowledge across development lifecycles. Key features include governance through evaluations, real-time monitoring, and support for both prebuilt and customizable metrics.","pricing":{"text":"Pricing not published"},"features":[{"name":"Eval-driven governance","value":"Guides Behavior In Production","valueDescription":"Ensure that agent actions and tool accesses are closely monitored and adjusted based on evaluation results to maintain control and accountability."},{"name":"Eval-to-guardrail lifecycle","value":"Transforms For Production Guardrails","valueDescription":"Allows seamless transitions from testing environments to production-ready configurations, ensuring AI consistency and reliability are maintained."},{"name":"Out-of-the-box evals","value":"Prebuilt Evaluations Available","valueDescription":"Provides immediate access to essential evaluation tools, enabling faster deployment and adaptability to specific industry requirements."},{"name":"Continuous Monitoring","value":"Monitors Performance Continuously","valueDescription":"Automatically detects anomalies and potential failures in real-time, allowing for immediate troubleshooting and adjustments."},{"name":"No-code integration","value":"Simplifies Integration","valueDescription":"Empowers teams to implement governance without extensive coding, facilitating quick setup and reducing development time."},{"name":"Customizable Metrics","value":"Tailors Evaluations To Needs","valueDescription":"Facilitates a targeted approach to evaluation, ensuring results are aligned with specific business or operational objectives."}]},{"name":"Galileo Observe","type":"Product","url":"https://observe.docs.galileo.ai/","summary":"Achieve Real-Time Monitoring and Control Over Your AI Systems.","description":"Galileo Observe is the production observability and monitoring solution that provides real-time visibility into AI agent behavior, enabling rapid debugging and performance optimization at scale. Key features include 24/7 monitoring, end-to-end visibility, and real-time alerts to enhance system performance.","pricing":{"text":"Pricing not published"},"features":[{"name":"24/7 Monitoring","value":"Ensure Proactive Issue Detection","valueDescription":"Real-time alerts and comprehensive monitoring keep your AI systems operational and efficient."},{"name":"End-to-End Visibility","value":"Visualize Every Interaction","valueDescription":"Gain complete clarity on how inputs affect outputs to optimize workflows and performance."},{"name":"Real-Time Alerts","value":"Quickly Respond to Issues","valueDescription":"Instant notifications help teams address problems without delays, reducing downtime."},{"name":"Trace-Level Observability","value":"Identify Failure Points","valueDescription":"Detailed tracing allows for precise identification of problem areas, streamlining debugging efforts."},{"name":"Adaptive Learning","value":"Enhance Monitoring Efficiency","valueDescription":"Customizable insights evolve with your system, ensuring ongoing relevance and optimization."},{"name":"Automated Root Cause Analysis","value":"Reduce Downtime","valueDescription":"Immediate insights into root causes foster quicker solutions and continuous performance enhancements."}]},{"name":"Galileo Protect","type":"Product","url":"https://galileo.ai/protect","summary":"Ensure safe and reliable AI with real-time risk mitigation and policy enforcement.","description":"Galileo Protect provides guardrails and safeguards to production AI systems, enabling real-time risk mitigation and policy enforcement to prevent harmful or unsafe outputs. Key features include real-time guardrails, customizable policies, and proactive anomaly detection for enhanced security.","pricing":{"text":"Pricing not published"},"features":[{"name":"Real-time guardrails","value":"Blocks Unsafe Outputs","valueDescription":"Automatically prevents harmful responses, ensuring only compliant outputs are generated."},{"name":"Guardrail policies","value":"Customizable Safety Protocols","valueDescription":"Tailor specific rules for your AI applications, addressing unique business requirements."},{"name":"Escalation controls","value":"Human Oversight","valueDescription":"Ensure a safety net by routing uncertain outputs to human reviewers for evaluation."},{"name":"Proactive anomaly detection","value":"Detect Unknown Issues","valueDescription":"Pinpoint potential problems before they escalate into significant risks."}]},{"name":"Galileo Signals","type":"Product","url":"","summary":"Proactively detects hidden failures in AI systems to ensure reliability and improve performance.","description":"Galileo Signals automatically detects failure patterns in AI agents from production traces, surfacing unknown or emerging issues and enabling rapid evals and remediation. Key features include instant evaluation generation and proactive failure detection to support continuous improvement.","pricing":{"text":"Pricing not published"},"features":[{"name":"Instant Eval Generation","value":"Generate Evals Instantly","valueDescription":"Transform identified signals into evaluations with a single click, greatly enhancing workflow efficiency."},{"name":"Proactive Failure Detection","value":"Identify Failures Early","valueDescription":"Detect emerging issues and prevent potential disasters by analyzing 100% of production traces."},{"name":"Institutional Memory","value":"Learn and Improve","valueDescription":"Build institutional knowledge over time to enhance the detection of issues that were previously unknown."},{"name":"Complete Historical Memory","value":"Track Issue History","valueDescription":"Utilize historical data to accurately assess and manage system reliability."}]},{"name":"Luna-2","type":"Product","url":"https://galileo.ai/luna-2","summary":"Luna-2 ensures reliable AI evaluations and guardrailing for enterprise applications.","description":"Luna-2 is Galileo’s production-oriented family of small language models designed for agent reliability and real-time evaluation, available in 3B and 8B parameter sizes and optimized for low latency. Key features include ultra-low latency and an optimized inference engine for consistent performance.","pricing":{"text":"Pricing not published"},"features":[{"name":"Ultra-low latency","value":"Achieve Fast Evaluations","valueDescription":"Luna-2 can process evaluations with ultra-low latency, ensuring optimal performance in time-sensitive AI applications."},{"name":"Real-time guardrails","value":"Mitigate Risks Instantly","valueDescription":"With its real-time guardrails, Luna-2 can intercept harmful actions swiftly, enhancing reliability across AI systems."},{"name":"Optimized inference engine","value":"Ensure Consistent Performance","valueDescription":"Luna-2 operates on a tailored infrastructure designed for robust AI evaluations, ensuring reliability and speed."},{"name":"Two parameter sizes","value":"Choose Optimal Model Size","valueDescription":"Luna-2's flexible configuration allows organizations to select a model that best fits their specific evaluation needs."},{"name":"Shared metric architecture","value":"Leverage Extensive Evaluation Metrics","valueDescription":"This architecture allows for efficient monitoring and evaluation across various AI tasks without duplicating resources."}]}],"audiences":[],"segments":[{"name":"Continuous model evaluation and validation","description":"In-environment testing, continuous evaluations, drift detection, and validation workflows that assess models from pre-production through production to ensure policy compliance and performance.","size":1.5,"cagr":20,"color":1,"productNames":["Galileo Evaluate","Galileo Signals","Luna-2"],"methodology":"Multiple market reports for model evaluation/validation platforms cluster mid‑2020s market size between about $1.1–1.8B. I select a midpoint (~$1.5B) for the continuous evaluation/validation segment. Forecast CAGRs in the results vary widely (≈9.6%–28.5%); given rapid AI adoption, regulatory drivers, and the range of published forecasts, I estimate a realistic growth potential near 20% CAGR over the coming years.","citations":[{"url":"https://www.precedenceresearch.com/model-evaluation-and-benchmarking-tools-market","text":"Market at USD 1.15 billion in 2026; expected USD 9.57 billion by 2035 at a CAGR of 9.57%."},{"url":"https://www.snsinsider.com/reports/model-validation-platform-market-9196","text":"Market valued at USD 1.84 billion in 2025E; expected to reach USD 6.50 billion by 2033 at a CAGR of 17.17%."},{"url":"https://growthmarketreports.com/report/ai-model-evaluation-platform-market","text":"Global market size in 2024 stands at USD 1.31 billion; expected CAGR 28.5% reaching USD 11.97 billion by 2033."},{"url":"https://natlawreview.com/press-releases/artificial-intelligence-ai-model-evaluation-platform-market-size-share-key","text":"Expected to grow to $6.24 billion in 2030 at a compound annual growth rate (CAGR) of 27.5%."}]},{"name":"AI observability and trace analytics","description":"Capture, store, query, and investigate agent traces, prompts, tool calls, and decisions at scale with natural-language search and fast full-text querying for root-cause analysis.","size":3,"cagr":31.1,"color":2,"productNames":["Galileo Observe","Galileo Signals","Galileo Evaluate"],"methodology":"Estimate based on multiple market reports in the provided search results: specialist AI-observability research (Next Move / NextMSC) places AI observability at roughly USD 2.9B (2025) with very high growth (31.1% CAGR). Data-observability reports (Spherical Insights, Precedence) show smaller adjacent markets (USD ~1.1–1.93B in 2025) and lower CAGRs (≈11–15%), while broader observability platforms (MarketsandMarkets) are much larger but grow more slowly (~12% CAGR). Given the user segment (AI observability + trace/agent analytics) is narrower than general observability but aligned with AI/agent monitoring, the current market is estimated near USD 3.0B and growth potential is aligned with the AI-observability forecast (≈31.1% CAGR).","citations":[{"url":"https://www.nextmsc.com/report/ai-observability-market-ic5403?srsltid=AU7gw4UAbYzrm2Lsl7BbnnY8p8T54av8a6-BCnM89H3Jiwrv51xOU6xt","text":"The global AI observability market size was valued at USD 2.94 billion in 2025; expanding at a 31.1% CAGR between 2026 and 2035."},{"url":"https://www.sphericalinsights.com/reports/data-observability-market","text":"The Global Data Observability Market Size Was Estimated at USD 1.927 billion in 2025; CAGR of around 15.44% (2026–2035)."},{"url":"https://www.marketsandmarkets.com/PressReleases/observability-tools-and-platforms.asp","text":"The observability tools & platforms market is estimated at USD 11.71 billion in 2026 and projected to reach USD 20.72 billion by 2031, at a CAGR of 12.1%."}]},{"name":"Runtime AI protection","description":"Real-time threat detection and context-aware enforcement for AI applications and autonomous agents to prevent prompt injection, data leakage, and unsafe actions with low-latency inline protections and runtime guardrails.","size":3.3,"cagr":30,"color":3,"productNames":["Galileo Protect","Galileo Evaluate","Luna-2"],"methodology":"Estimate based on recent market reports for runtime application self-protection (RASP) and AI TRiSM/runtime protection. ResearchNester and MarketsandMarkets place the RASP/AI TRiSM market around $3.1–3.5B in 2026; MarketsandMarkets calls out ~30%+ CAGR for AI TRiSM and 33.1% for AI security & runtime protection. A midpoint current-size (~$3.3B) and a high-growth CAGR (~30%) reflect the segment’s alignment with rapid AI/agent adoption and cited subsegment growth rates, while acknowledging lower RASP estimates (≈18.9% CAGR) in some reports.","citations":[{"url":"https://www.researchnester.com/reports/runtime-application-self-protection-rasp-market/4122","text":"In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-trust-risk-security-management-trism-market-8112669.html","text":"The AI TRiSM market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, at a CAGR of 30.3%."},{"url":"https://www.marketgrowthreports.com/market-reports/runtime-application-self-protection-market-100658","text":"Global runtime application self-protection market Size Expected to Grow from USD 874.26 million in 2026 to USD 4180.89 million by 2035, at a CAGR of 18.9%."}]},{"name":"Automated failure detection and remediation","description":"Automated detection of failure patterns from production traces, instant generation of targeted evaluations, institutional memory, and mechanisms for rapid remediation.","size":5.5,"cagr":8.7,"color":4,"productNames":["Galileo Signals","Galileo Observe","Galileo Evaluate"],"methodology":"Estimate based on multiple industry reports for the closely related \"fault detection and classification\" market (covers automated failure detection/remediation). Future Market Insights cites USD 5.5 billion (2025) and a 8.7% CAGR; other reports show similar 2025 valuations (≈$5.35–$6.58B) and CAGRs around 8.7–9.0%, so I use USD 5.5B and CAGR 8.7% as a conservative central estimate.","citations":[{"url":"https://www.futuremarketinsights.com/reports/fault-detection-and-classification-market","text":"projected to grow from USD 5.5 billion in 2025 to USD 12.7 billion by 2035, at a CAGR of 8.7%."},{"url":"https://www.snsinsider.com/reports/fault-detection-and-classification-market-4033","text":"The Fault Detection and Classification Market size was valued at USD 6.58 billion in 2025 and is expected to grow to USD 15.34 billion by 2035."},{"url":"https://www.openpr.com/news/4633126/fault-detection-and-classification-market-outlook-highlights","text":"increase from $5.35 billion in 2025 to $5.83 billion in 2026, representing a compound annual growth rate (CAGR) of 9.0%."}]}],"faq":[],"comparisons":[],"sources":[{"url":"https://galileo.ai","text":"Galileo Technologies, Inc."},{"url":"https://observe.docs.galileo.ai/","text":"Galileo Observe"},{"url":"https://galileo.ai/protect","text":"Galileo Protect"},{"url":"https://galileo.ai/luna-2","text":"Luna-2"},{"url":"https://www.precedenceresearch.com/model-evaluation-and-benchmarking-tools-market","text":"Market at USD 1.15 billion in 2026; expected USD 9.57 billion by 2035 at a CAGR of 9.57%."},{"url":"https://www.snsinsider.com/reports/model-validation-platform-market-9196","text":"Market valued at USD 1.84 billion in 2025E; expected to reach USD 6.50 billion by 2033 at a CAGR of 17.17%."},{"url":"https://growthmarketreports.com/report/ai-model-evaluation-platform-market","text":"Global market size in 2024 stands at USD 1.31 billion; expected CAGR 28.5% reaching USD 11.97 billion by 2033."},{"url":"https://natlawreview.com/press-releases/artificial-intelligence-ai-model-evaluation-platform-market-size-share-key","text":"Expected to grow to $6.24 billion in 2030 at a compound annual growth rate (CAGR) of 27.5%."},{"url":"https://www.nextmsc.com/report/ai-observability-market-ic5403?srsltid=AU7gw4UAbYzrm2Lsl7BbnnY8p8T54av8a6-BCnM89H3Jiwrv51xOU6xt","text":"The global AI observability market size was valued at USD 2.94 billion in 2025; expanding at a 31.1% CAGR between 2026 and 2035."},{"url":"https://www.sphericalinsights.com/reports/data-observability-market","text":"The Global Data Observability Market Size Was Estimated at USD 1.927 billion in 2025; CAGR of around 15.44% (2026–2035)."},{"url":"https://www.marketsandmarkets.com/PressReleases/observability-tools-and-platforms.asp","text":"The observability tools & platforms market is estimated at USD 11.71 billion in 2026 and projected to reach USD 20.72 billion by 2031, at a CAGR of 12.1%."},{"url":"https://www.researchnester.com/reports/runtime-application-self-protection-rasp-market/4122","text":"In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-trust-risk-security-management-trism-market-8112669.html","text":"The AI TRiSM market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, at a CAGR of 30.3%."},{"url":"https://www.marketgrowthreports.com/market-reports/runtime-application-self-protection-market-100658","text":"Global runtime application self-protection market Size Expected to Grow from USD 874.26 million in 2026 to USD 4180.89 million by 2035, at a CAGR of 18.9%."},{"url":"https://www.futuremarketinsights.com/reports/fault-detection-and-classification-market","text":"projected to grow from USD 5.5 billion in 2025 to USD 12.7 billion by 2035, at a CAGR of 8.7%."},{"url":"https://www.snsinsider.com/reports/fault-detection-and-classification-market-4033","text":"The Fault Detection and Classification Market size was valued at USD 6.58 billion in 2025 and is expected to grow to USD 15.34 billion by 2035."},{"url":"https://www.openpr.com/news/4633126/fault-detection-and-classification-market-outlook-highlights","text":"increase from $5.35 billion in 2025 to $5.83 billion in 2026, representing a compound annual growth rate (CAGR) of 9.0%."}]}