NannyML
Post-deployment ML monitoring for data drift, performance degradation, and model behavior.
NannyML monitors machine learning models in production to detect data drift, model performance degradation, and behavioral changes without requiring ground truth labels. Teams use it to identify when models underperform and require retraining. The platform enables continuous model observability and risk detection, helping organizations maintain AI system reliability and compliance with governance requirements.
Adjacent tooling.
AI Trust Services (KPMG)
KPMG's trusted AI framework for governance, risk, and compliance.
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.