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ai-tools llms-txtmonitoringai

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llms.txt Content

# Galileo > Galileo is the AI agent reliability platform that helps enterprise engineering teams evaluate, observe, and guardrail AI agents and LLM applications. Purpose-built for autonomous multi-agent systems, Galileo uniquely combines offline evals, production monitoring, and runtime guardrails in a single platform — turning evaluations directly into production safety controls without additional code. Galileo solves a critical problem facing AI engineering teams: as enterprises move from simple LLM applications to autonomous, multi-step AI agents making real-world decisions, traditional observability and evaluation tools fail to keep up. Teams are "flying blind" — unable to identify why agents hallucinate, loop endlessly, or take unintended actions. Galileo provides instant insight into multi-agent behavior so teams can find and fix errors quickly, with Agent Graph Visualization, automated Signals for proactive failure detection, and real-time monitoring with alerts. Galileo's proprietary Luna-2 small language models are 98% cheaper than LLM-as-judge approaches and deliver sub-200ms latency, enabling 100% production traffic coverage. Customers like Verizon, Comcast, HP, NTT, Five9, and ServiceTitan use Galileo to deploy agents 5X faster while maintaining enterprise-grade reliability, achieving an average of 95% eval accuracy and 100% visibility into events that matter. Founded in 2021 by AI veterans from Google AI, Google Brain, Uber AI, and Apple Siri, Galileo has raised $68M including a $45M Series B led by Scale Venture Partners with participation from Databricks Ventures. The platform is SOC2 Type 2 certified, supports SaaS, on-premises, and in-VPC deployment, and integrates with CrewAI, LangGraph, OpenAI Agents SDK, Google ADK, LlamaIndex, and Amazon Strands via OpenTelemetry. Galileo competes against Arize, Braintrust, LangSmith, and legacy ML observability tools, differentiating as the only platform combining deep agent observability, adaptive eva