Best Model Monitoring Software in 2026

Braintrust

Braintrust is aimed at teams operating AI agents in production, from early-stage teams to enterprises.

Langfuse

Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools.

LangSmith

LangSmith suits teams engineering AI agents that need evaluation, tracing, prompt work, deployment, and production monitoring.

LangWatch

LangWatch suits AI teams shipping agents, including developers, product owners, QA, and domain experts working with evaluation workflows.

Opik

Opik suits teams developing applications or agents that make calls to an LLM and want tracing and evaluation across the development cycle.

NannyML

NannyML suits teams monitoring deployed models where labels may arrive late or not at all.

SUPERWISE

AMP is aimed at engineers and AI teams building LLM applications and agents, including organizations in healthcare, financial services, legal, and manufacturing.

W&B Weave

Weave suits teams monitoring and evaluating production AI agents, particularly those using supported frameworks and models.

AX suits teams building AI agents that need tracing, evaluations, investigations, and experiments.

Arthur

Arthur suits enterprises that need to discover, monitor, and govern AI agents across varied environments.

OpenLIT suits teams that need LLM tracing, evaluation, prompt management, and cost tracking, especially those seeking self-hosted deployment.

Helicone

Helicone suits teams routing and observing AI application requests across model providers, including teams that need self-hosting or LLM cost tracking.

It suits teams operating AI applications that need model, retrieval, tool, prompt, and evaluation tracing.

Laminar

Laminar suits teams instrumenting AI-agent systems that need tracing, evaluations, debugging, and dashboards.

Maxim AI

It suits cross-functional AI teams that need to evaluate agents and monitor them in production.

Fiddler AI

Fiddler positions its platform for enterprises managing AI agents and predictive applications at scale.

It suits teams building LLM applications that need to debug production traffic, track spending, monitor quality, and manage prompts.

Galileo

Galileo is designed for engineers, product managers and subject matter experts building AI applications.

HoneyHive

HoneyHive is aimed at AI platform teams, AI engineers, domain experts, and risk or governance teams.

Qualdo-MQX suits teams monitoring deployed machine-learning models across supported cloud ecosystems.

Pulsar is intended for software engineers, data scientists, and machine learning engineers who need self-hosted production monitoring.