5 Top AI Observability Platforms for AI Applications

AI observability has become crucial for ensuring the reliability and cost-effectiveness of AI applications, as traditional infrastructure monitoring fails to capture issues specific to AI, such as incorrect tool selection or policy violations. With Gartner predicting significant cancellations of agentic AI projects due to uncontrolled costs and inadequate risk controls, the evaluation of platforms like Galileo, HoneyHive, Braintrust, Comet Opik, and Helicone focuses on faster root-cause analysis, predictable spending, and compliance auditability. Galileo stands out by offering a 97% cost reduction with its Luna-2 models, which also provide sub-200ms latency and comprehensive production traffic monitoring. Its automated Insights Engine and dev-to-prod continuity features help reduce resolution times and deployment friction. Other platforms, such as HoneyHive and Braintrust, emphasize collaborative workflows, multi-provider strategies, and proxy-based architectures that streamline deployments and enhance observability. Overall, these observability tools offer tailored solutions for AI-specific telemetry, enabling organizations to address cascading failures, optimize costs, and ensure compliance while supporting complex multi-agent systems.