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Tools that help teams inspect AI agent traces, monitor outcomes, quality, latency and cost, diagnose failures and receive operational alerts.
| Company | Description | Matching products |
|---|---|---|
| LangChain | LangChain provides the engineering platform (LangSmith) and open source frameworks developers use to build, test, and deploy reliable AI agents. | |
| Raindrop | Hosted AI agent monitoring and observability platform for tracing agent runs, detecting silent failures, triaging issues, and validating fixes. | |
| Braintrust | The AI observability platform for tracing production, running evals, and catching regressions before they reach users. | |
| Arize AI, Inc. | AI observability and model evaluation platform company providing the AI engineering platform for self-improving agents. | |
| Voice AI evaluation platform for testing, monitoring, and improving voice agents at scale. |
| Lemma | Production monitoring for AI agents. Surfaces silent failures, pulls context across traces, and helps teams improve agents before users churn. |
| Maxim AI | End-to-end AI evaluation and observability platform helping teams ship AI agents with reliability and confidence for real-world use. |
| Hamming AI | Complete platform for testing, monitoring, and ensuring compliance of AI voice agents. |
| Moda | Continual learning layer for AI agents. Analyzes production conversations to surface user intent, agent failures, and frustration causes, then feeds validated improvements back into the agent harness. |
| Metoro | AI SRE and observability platform for Kubernetes that collects logs, metrics, traces, profiling, Kubernetes events, and deployment context with eBPF. AI agents detect production issues, investigate alerts, verify deployments, identify root causes, and open fix PRs. |
| Roark | Simulation testing and evals platform for voice and chat AI agents. Simulate every scenario before launch, score every production call on audio-native metrics. |
| TraceRoot | TraceRoot is an open-source observability and self-healing platform for AI agents that captures traces, monitors production issues, and automates debugging and fix generation. |
| Caveman | Caveman builds local context compression, coding-agent tools, and TypeScript and Python middleware. It cuts AI agent token costs through output compression, input compression, model routing, and caching. |
| Papaya | Papaya analyzes AI agent traces and code to improve quality, reduce latency, and reduce cost. |