Galileo, a leading AI evaluation company based in San Francisco, announced the launch of its Agent Reliability Platform on July 17, 2025. This industry-first solution, available free for developers worldwide, combines observability, evaluation, and guardrails tailored for multi-agent AI systems. Trusted by global enterprises like HP, Twilio, Reddit, and Comcast, the platform addresses the critical need for reliable AI agent performance as adoption surges, with 10% of organizations already using AI agents and 82% planning integration within three years. Powered by Galileo’s Luna-2 small language models, it offers scalable, cost-effective tools to ensure robust AI deployments.
Galileo launches free Agent Reliability Platform for multi-agent AI systems.
Integrates observability, evaluation, and guardrails for enterprise AI reliability.
Powered by Luna-2 SLMs, offering up to 97% cost reduction in monitoring.
Features Insights Engine for automatic failure detection and root cause analysis.
Supports frameworks like CrewAI, LangGraph, and OpenAI’s Agent SDK.
Addresses 40% predicted failure rate of AI projects by 2027, per Gartner.
As AI agents grow more autonomous and complex, traditional evaluation tools struggle to address their failure modes. Galileo’s Agent Reliability Platform, launched on July 17, 2025, is designed specifically for multi-agent systems, offering a comprehensive solution to ensure reliability at scale. “When your agent fails, you shouldn’t have to become a detective,” said Vikram Chatterji, CEO and Co-founder of Galileo. “Our agent reliability platform, fueled by our world-first Insights Engine, represents a fundamental shift from reactive debugging to proactive intelligence, giving developers the confidence to deploy AI agents that perform reliably in production.” The platform mitigates risks like data exposure or financial losses from agent errors.
Central to the platform are Galileo’s Luna-2 small language models (SLMs), which enable real-time evaluations with sub-200ms latency and up to 97% cost reduction compared to traditional LLM-based solutions like GPT-4o. “Multiturn agents never follow a single script, so your tests can’t either,” said Atin Sanyal, CTO and Co-founder of Galileo. Luna-2 powers scalable metrics, including session-level insights on conversation quality, intent changes, and efficiency, ensuring comprehensive monitoring across the entire agent journey. This cost-effective approach makes enterprise-scale AI monitoring accessible and efficient.
Galileo’s platform delivers four core features: a framework-agnostic Graph Engine for visualizing decision paths and bottlenecks, an Insights Engine for automatic failure detection with root cause analysis, scalable agentic metrics for task completion and efficiency, and real-time guardrails to prevent malicious behavior or errors. These capabilities support popular frameworks like CrewAI, LangGraph, OpenAI’s Agent SDK, LlamaIndex, and Amazon Strands, using open standards like OpenTelemetry. MongoDB’s Abhinav Mehla noted, “Galileo’s platform, as part of the MAAP ecosystem, ensures AI applications and agents built on MongoDB can be deployed with added confidence, thanks to its sophisticated monitoring and evaluation capabilities.”
The platform has earned praise from partners like CrewAI and Cisco’s Outshift. “Trust doesn’t come from a flashy demo—it comes from agents that deliver the same high-quality results, over and over,” said João Moura, CEO of CrewAI. Capgemini research indicates that 10% of organizations currently deploy AI agents, with over half planning adoption in 2025. However, Gartner predicts 40% of agentic AI projects may fail by 2027 without robust reliability measures. Galileo’s free tier, with enterprise features available via paid plans, addresses this challenge, ensuring organizations can deploy AI agents for customer service, financial operations, and automation with confidence.
Galileo’s Agent Reliability Platform, supported by its Luna-2 SLMs and integrations with leading frameworks, sets a new standard for AI reliability. By offering free access to developers and enterprise-grade features, Galileo empowers organizations to mitigate risks and accelerate AI adoption. The platform’s launch, alongside an updated v2 AI agent leaderboard ranking models like GPT-4.1 and Kimi K2, reinforces Galileo’s leadership in enabling trustworthy, scalable AI solutions for enterprises worldwide.
Founded by AI veterans from Google AI, Apple Siri, and Google Brain, Galileo's AI reliability platform is built with observability, evaluations, and guardrails to provide the trust layer for GenAI applications at global enterprises. With more than $68 million raised from investors including Battery Ventures, Scale Venture Partners, Databricks Ventures, Citi Ventures, and Hugging Face CEO Clement Delangue, Galileo is the leading AI research and evaluation organization empowering AI teams of all sizes to build, evaluate, and deploy trustworthy AI applications.
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