AI Monitoring
Track model drift, latency, errors, and data quality in production. Central for ML platform teams running safe, observable AI services at scale.
LangSmith
Trace agent behavior, debug failures, and monitor production metrics across common development stacks.
Acceldata
Enterprise platform for observability, governance, cataloging, pipeline health, and data quality across hybrid-cloud data and AI operations.
LogRocket
Session replay, product analytics, frontend telemetry, and AI issue discovery in one connected workspace.
Dynatrace
One observability platform for applications, infrastructure, Kubernetes, logs, security, and AI workloads.
Comet
Use Opik to trace, evaluate, optimize, and monitor LLM applications and agents in development and production.
Coval
Test and monitor customer-facing voice agents through simulation, production evaluations, human review, and CI workflows.
alwaysAI
Enterprise computer vision that converts existing camera footage into real-time operational measurements and alerts.
Langfuse
Open-source platform for tracing, evaluating, and improving LLM applications and AI agents.
Honeycomb
Production observability for distributed services and AI workflows, with trace-led debugging and a permanent Free plan.
Foam
Chat with Foam to verify production behavior, investigate incidents, and monitor operational signals.
Nebuly
Enterprise analytics that shows how employees and customers use AI agents.
Galileo
Evaluate and debug generative AI applications and agents, monitor them in production, and reuse tuned evaluations as runtime guardrails.