LangSmith
Trace, debug, and monitor LLM applications for transparency and risk control.
LangSmith provides observability into LLM application behavior through tracing and debugging capabilities. Organizations use it to monitor model outputs, track latency, and identify failure modes in production. Key differentiator: purpose-built for LLM systems, enabling teams to document model behavior and ensure accountability across AI deployments.
Adjacent tooling.
Aporia
Monitor, test, and safeguard LLMs in production with observability and guardrails.
Dataiku EU AI Act Readiness
Platform helping organizations assess and manage EU AI Act compliance risks.
DataRobot
Real-time AI governance, monitoring and compliance platform for enterprises.
Earthian AI
Enterprise risk management platform purpose-built for AI systems.
IBM watsonx.governance
Unified AI governance platform for model lifecycle management and compliance tracking.
Lakera
LLM security and guardrails for enterprise AI deployment risk management.