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Galileo Technologies, Inc.

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Enterprise AISoftwaregalileo.aiUpdated

Galileo Technologies, Inc. provides an enterprise AI reliability platform for evaluating, monitoring, and safeguarding AI agents and applications.

Overview

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 statement

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.

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What we offer

Galileo Evaluate

Streamline AI evaluations with tailored assessments for accurate and reliable outcomes.

Pricing not published

Galileo Observe

Achieve Real-Time Monitoring and Control Over Your AI Systems.

Pricing not published

observe.docs.galileo.ai/

Galileo Protect

Ensure safe and reliable AI with real-time risk mitigation and policy enforcement.

Pricing not published

galileo.ai/protect

Galileo Signals

Proactively detects hidden failures in AI systems to ensure reliability and improve performance.

Pricing not published

Luna-2

Luna-2 ensures reliable AI evaluations and guardrailing for enterprise applications.

Pricing not published

galileo.ai/luna-2

Market segments

Market size by segment

Growth potential (CAGR)

Continuous model evaluation and validation

1.5 Billion USD20% CAGR

In-environment testing, continuous evaluations, drift detection, and validation workflows that assess models from pre-production through production to ensure policy compliance and performance.

Products: Galileo Evaluate, Galileo Signals, Luna-2

AI observability and trace analytics

3 Billion USD31.1% CAGR

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.

Products: Galileo Observe, Galileo Signals, Galileo Evaluate

Runtime AI protection

3.3 Billion USD30% CAGR

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.

Products: Galileo Protect, Galileo Evaluate, Luna-2

Automated failure detection and remediation

5.5 Billion USD8.7% CAGR

Automated detection of failure patterns from production traces, instant generation of targeted evaluations, institutional memory, and mechanisms for rapid remediation.

Products: Galileo Signals, Galileo Observe, Galileo Evaluate

More information about our offering

Galileo Evaluate

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 not published

  • Guides Behavior In Production
    Ensure that agent actions and tool accesses are closely monitored and adjusted based on evaluation results to maintain control and accountability.
  • Transforms For Production Guardrails
    Allows seamless transitions from testing environments to production-ready configurations, ensuring AI consistency and reliability are maintained.
  • Prebuilt Evaluations Available
    Provides immediate access to essential evaluation tools, enabling faster deployment and adaptability to specific industry requirements.
  • Monitors Performance Continuously
    Automatically detects anomalies and potential failures in real-time, allowing for immediate troubleshooting and adjustments.
  • Simplifies Integration
    Empowers teams to implement governance without extensive coding, facilitating quick setup and reducing development time.
  • Tailors Evaluations To Needs
    Facilitates a targeted approach to evaluation, ensuring results are aligned with specific business or operational objectives.

Galileo Observe

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 not published

  • Ensure Proactive Issue Detection
    Real-time alerts and comprehensive monitoring keep your AI systems operational and efficient.
  • Visualize Every Interaction
    Gain complete clarity on how inputs affect outputs to optimize workflows and performance.
  • Quickly Respond to Issues
    Instant notifications help teams address problems without delays, reducing downtime.
  • Identify Failure Points
    Detailed tracing allows for precise identification of problem areas, streamlining debugging efforts.
  • Enhance Monitoring Efficiency
    Customizable insights evolve with your system, ensuring ongoing relevance and optimization.
  • Reduce Downtime
    Immediate insights into root causes foster quicker solutions and continuous performance enhancements.

Galileo Protect

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 not published

  • Blocks Unsafe Outputs
    Automatically prevents harmful responses, ensuring only compliant outputs are generated.
  • Customizable Safety Protocols
    Tailor specific rules for your AI applications, addressing unique business requirements.
  • Human Oversight
    Ensure a safety net by routing uncertain outputs to human reviewers for evaluation.
  • Detect Unknown Issues
    Pinpoint potential problems before they escalate into significant risks.

Galileo Signals

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 not published

  • Generate Evals Instantly
    Transform identified signals into evaluations with a single click, greatly enhancing workflow efficiency.
  • Identify Failures Early
    Detect emerging issues and prevent potential disasters by analyzing 100% of production traces.
  • Learn and Improve
    Build institutional knowledge over time to enhance the detection of issues that were previously unknown.
  • Track Issue History
    Utilize historical data to accurately assess and manage system reliability.

Luna-2

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 not published

  • Achieve Fast Evaluations
    Luna-2 can process evaluations with ultra-low latency, ensuring optimal performance in time-sensitive AI applications.
  • Mitigate Risks Instantly
    With its real-time guardrails, Luna-2 can intercept harmful actions swiftly, enhancing reliability across AI systems.
  • Ensure Consistent Performance
    Luna-2 operates on a tailored infrastructure designed for robust AI evaluations, ensuring reliability and speed.
  • Choose Optimal Model Size
    Luna-2's flexible configuration allows organizations to select a model that best fits their specific evaluation needs.
  • Leverage Extensive Evaluation Metrics
    This architecture allows for efficient monitoring and evaluation across various AI tasks without duplicating resources.

Sources

Methodology and sourcing behind the figures and links shown above.

Continuous model evaluation and validation

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.

AI observability and trace analytics

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).

Runtime AI protection

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.

Automated failure detection and remediation

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.

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