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galileo.ai

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

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.

Products & Services

Galileo Evaluate Product

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

  • Eval-driven governance — Guides Behavior In Production
  • Eval-to-guardrail lifecycle — Transforms For Production Guardrails
  • Out-of-the-box evals — Prebuilt Evaluations Available
  • Continuous Monitoring — Monitors Performance Continuously
  • No-code integration — Simplifies Integration
  • Customizable Metrics — Tailors Evaluations To Needs

Galileo Observe Product

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

observe.docs.galileo.ai
  • 24/7 Monitoring — Ensure Proactive Issue Detection
  • End-to-End Visibility — Visualize Every Interaction
  • Real-Time Alerts — Quickly Respond to Issues
  • Trace-Level Observability — Identify Failure Points
  • Adaptive Learning — Enhance Monitoring Efficiency
  • Automated Root Cause Analysis — Reduce Downtime

Galileo Protect Product

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

galileo.ai/protect
  • Real-time guardrails — Blocks Unsafe Outputs
  • Guardrail policies — Customizable Safety Protocols
  • Escalation controls — Human Oversight
  • Proactive anomaly detection — Detect Unknown Issues

Galileo Signals Product

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

  • Instant Eval Generation — Generate Evals Instantly
  • Proactive Failure Detection — Identify Failures Early
  • Institutional Memory — Learn and Improve
  • Complete Historical Memory — Track Issue History

Luna-2 Product

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

galileo.ai/luna-2
  • Ultra-low latency — Achieve Fast Evaluations
  • Real-time guardrails — Mitigate Risks Instantly
  • Optimized inference engine — Ensure Consistent Performance
  • Two parameter sizes — Choose Optimal Model Size
  • Shared metric architecture — Leverage Extensive Evaluation Metrics

Market Segments

Billion USD 0 1 2 3 4 5 6 Continuous mode… AI observabilit… Runtime AI prot… Automated failu… Market Size (Billion USD)
0% 3% 6% 9% 12% 15% 18% 21% 24% 27% 30% 33% 36% 39% CAGR Growth Potential

Continuous model evaluation and validation

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

Market size: $1.5B CAGR: 20%
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

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.

Market size: $3.0B CAGR: 31.1%
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).
TH TH TH 3 references

Runtime AI protection

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.

Market size: $3.3B CAGR: 30%
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.
IN TH GL 3 references

Automated failure detection and remediation

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

Market size: $5.5B CAGR: 8.7%
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.
PR TH IN 3 references

Related Organizations

Common Questions

What does Galileo Technologies, Inc. do?
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.
What is Galileo Technologies, Inc.'s role in the Continuous model evaluation and validation market?
In-environment testing, continuous evaluations, drift detection, and validation workflows that assess models from pre-production through production to ensure policy compliance and performance.
What is Galileo Technologies, Inc.'s role in the AI observability and trace analytics market?
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.
How was the Continuous model evaluation and validation market size estimate for Galileo Technologies, Inc. calculated?
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.
How was the AI observability and trace analytics market size estimate for Galileo Technologies, Inc. calculated?
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).
Galileo Technologies, Inc. — company overview