Company Overview
Observability platform with AI monitoring capabilities for tracking model performance and LLM application health.
Based in Silicon Valley (San Francisco, CA), New Relic offers its New Relic AI Monitoring as a solution for organizations navigating the complexities of LLM-specific observability including prompt monitoring, token tracking, and response quality. The platform is positioned within the broader AI Observability & Monitoring category, where AI Security Intelligence tracks 32 companies building specialized capabilities.
Established in 2008, New Relic is a mature technology company that has expanded into AI security, bringing an established customer base and enterprise credibility to this emerging category.
Why Watch This Company
In the AI observability space, the gap between 'deployed' and 'understood' remains the biggest operational risk for enterprise AI. New Relic addresses this gap through LLM-specific observability including prompt monitoring, token tracking, and response quality — a capability that becomes increasingly critical as AI systems move from experimental deployments to mission-critical production workloads.
Key Facts
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Headquarters
San Francisco, CA
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Category
AI Observability & Monitoring
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Key Product
New Relic AI Monitoring
Primary Product
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New Relic AI Monitoring
Observability platform with AI monitoring capabilities for tracking model performance and LLM application health.
AI Observability & Monitoring Landscape
AI Observability & Monitoring →
AI Observability & Monitoring provides the instrumentation layer that lets organizations understand what their AI systems are actually doing in production. Unlike traditional application monitoring, AI observability must track model performance, data drift, hallucination rates, latency, cost, prompt-response quality, and behavioral anomalies — metrics that don't exist in conventional observability stacks.
32 companies tracked in this category
Buyer's Evaluation Framework
Key questions to evaluate any AI Observability & Monitoring vendor — including New Relic:
Does the platform provide real-time monitoring of model performance, including hallucination detection, drift measurement, and response quality scoring?
Can the solution trace full request lifecycles across complex AI chains (RAG pipelines, multi-agent workflows, tool-calling sequences)?
How does the vendor handle cost optimization — can it track and attribute token usage, compute costs, and model efficiency?
Does the platform integrate with your existing observability stack and support OpenTelemetry standards?
Featured Profiles in AI Observability & Monitoring
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Category Peers — AI Observability & Monitoring
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