Pioneering AI analysis firm introduces industry-first platform combining observability, analysis, and guardrails particularly designed for multi-agent methods
Galileo, the main AI reliability platform trusted for evaluations and observability by international enterprises together with HP, Twilio, Reddit, and Comcast, introduced the launch of its complete platform replace for AI agent reliability, free for builders around the globe. As AI brokers develop into more and more autonomous and multi-step, conventional analysis instruments battle to detect their complicated failure modes. Galileo’s new agent reliability resolution is purpose-built for multi-agent AI methods and addresses this essential hole with agentic observability, analysis, and guardrail capabilities working in live performance.
What This Means for Enterprises
With 10% of organizations already deploying AI brokers and 82% planning integration inside three years, enterprises face a essential problem: making certain dependable AI agent efficiency at scale. Galileo’s platform addresses the high-stakes nature of enterprise AI deployment, the place a single agent failure can expose delicate knowledge, price actual cash, or harm buyer relationships. Galileo’s new Luna-2 small language fashions(SLMs) ship as much as 97% price discount in manufacturing monitoring whereas enabling real-time safety towards failures that would derail enterprise AI initiatives.
Ship Dependable AI Brokers
“When your agent fails, you shouldn’t should develop into a detective,” mentioned Vikram Chatterji, CEO and Co-founder of Galileo. “Our agent reliability platform, fueled by our world-first Insights Engine, represents a elementary shift from reactive debugging to proactive intelligence, giving builders the boldness to deploy AI brokers that carry out reliably in manufacturing.”
Enterprise clients and companions are already seeing a major affect:
MongoDB: “As our clients deploy AI purposes at scale, refined monitoring is required to construct belief and reliability into these methods. Galileo’s platform, as a part of the MAAP ecosystem, ensures AI purposes and brokers constructed on MongoDB will be deployed with added confidence, due to its refined monitoring and analysis capabilities.” – Abhinav Mehla, VP – World Associate GTM Applications, MongoDB
CrewAI: “Belief doesn’t come from a flashy demo—it comes from brokers that ship the identical high-quality outcomes, again and again. That’s why we’ve partnered with Galileo: to assist corporations transfer quick and keep dependable. With CrewAI + Galileo, groups can deploy brokers that don’t simply work as soon as; they work at scale, in the actual world, the place consistency really issues.” – João Moura, CEO and Co-founder at CrewAI
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Complete Agent Reliability Answer
The platform tackles the distinctive challenges of agentic AI improvement, the place a single unhealthy motion can expose delicate knowledge or price actual cash, requiring guardrails that set off earlier than instruments execute. Galileo’s platform powers customized real-time evaluations and guardrails with new Luna-2 small language fashions, giving builders focused visibility into agent conduct throughout each step, instrument name, and output.
Galileo’s Agent Reliability Platform delivers 4 key capabilities:
1. Agent Observability Reimagined
- Framework-agnostic Graph Engine that renders each department, determination, and gear name
- Timeline View for execution stream evaluation and bottleneck identification
- Dialog View for user-perspective debugging
2. Insights Engine for Computerized Failure Detection Powered by bespoke analysis reasoning fashions, the Insights Engine mechanically identifies failure modes and surfaces actionable insights, together with:
- Root trigger evaluation linking errors to actual traces
- Multi-agent coordination evaluation
- Instrument utilization optimization suggestions
- Dialog stream and efficiency monitoring
3. Scalable Agentic Metrics Function-built metrics masking stream adherence, job completion, dialog high quality, and agent effectivity, with assist for customized metrics utilizing code-based approaches, LLM-as-a-judge, or Galileo’s new Luna-2 small language fashions.
4. Actual-Time Manufacturing Guardrails Luna-2 powered guardrails allow low-cost, real-time safety towards malicious person conduct and agent errors with out the expense of conventional LLM-based options.
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Powered by Luna-2: Function-Constructed for Brokers
Central to the platform are Galileo’s Luna-2 small language fashions, particularly designed for always-on agent evaluations. In contrast to conventional approaches that depend on costly, gradual LLMs, Luna-2 permits:
- 10-20 refined metrics working concurrently
- Sub-200ms latency even at 100% sampling charges
- Enterprise-scale manufacturing monitoring at 97% cheaper prices
- Session-level metrics that seize your complete agent journey
“Multiturn brokers by no means observe a single script, so your assessments can’t both,” defined Atin Sanyal, CTO and Co-founder of Galileo. “Luna-2’s session metrics seize dialog high quality, intent modifications, effectivity, and compound-request decision throughout the entire journey, not simply particular person turns.”
Enterprise Know-how Associate Validation
Outshift by Cisco: “What Galileo is doing with their Luna-2 small language fashions is wonderful. It is a key step to having whole, stay in-production evaluations and guardrailing of your AI system,” mentioned Giovanna Carofiglio, Distinguished Engineer & Senior Director at Outshift by Cisco.
Elastic: “Galileo’s Luna-2 SLMs and analysis metrics assist builders guardrail and perceive their LLM-generated knowledge. Combining the capabilities of Galileo and the Elasticsearch vector database empowers builders to construct dependable, reliable AI methods and brokers.” – Philipp Krenn, Head of DevRel & Developer Advocacy, Elastic
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